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De, S., Kaushik, K. & Mishra, D. (2019). Stochastic Solar Harvesting Characterization for Sustainable Sensor Node Operation. IET Wireless Sensor Systems, 1-11
Open this publication in new window or tab >>Stochastic Solar Harvesting Characterization for Sustainable Sensor Node Operation
2019 (English)In: IET Wireless Sensor Systems, ISSN 2043-6386, p. 1-11Article in journal (Refereed) Epub ahead of print
Abstract [en]

Self-sustainability of low power wireless sensor nodes is the need of the hour to realize ubiquitous wireless networks. To address this requirement we investigate the practical feasibility of sustainable green sensor network with solar-powered nodes. We propose simple yet efficient (i) analytical circuit model for solar panel assisted supercapacitor charging and (ii) statistical model for characterizing the solar intensity distribution. Combining these circuit and statistical models, we derive a novel solar charging rate distribution for the solar-powered supercapacitor. To gain analytical insights, we also propose an ideal diode based tight approximation for the practical supercapacitor charging circuit model. The accuracy of these proposed analytical models have been validated by extensive numerical simulations based on the real-world data, i.e., solar intensity profile and solar panel characteristics. The derived solar charging rate distribution is used to investigate the supported sampling rate of the node with different varying number of on-board sensors for a given energy outage probability. Results suggest that for an energy outage probability of 0.1, at New Delhi, a 40 F supercapacitor and a 3 W solar panel can support the operation of Waspmote with 6 on-board toxic gas sensors with a sampling rate of 65 samples per day. Further, we use the proposed models to estimate the practical supercapacitor and solar panel sizes required to ensure sustainability of sensor node operation at different geographical locations with varying sensing rate.

Place, publisher, year, edition, pages
Institution of Engineering and Technology (IET), 2019
National Category
Signal Processing Communication Systems
Identifiers
urn:nbn:se:liu:diva-156035 (URN)10.1049/iet-wss.2018.5009 (DOI)
Available from: 2019-04-02 Created: 2019-04-02 Last updated: 2019-04-02Bibliographically approved
Mishra, D., De, S., Alexandropoulos, G. C. & Krishnaswamy, D. (2018). Energy-Aware mode selection for throughput maximization in RF-Powered D2D Communications. In: GLOBECOM 2017 - 2017 IEEE Global Communications Conference: . Paper presented at GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore 4 – 8 December 2017 (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Energy-Aware mode selection for throughput maximization in RF-Powered D2D Communications
2018 (English)In: GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

Doubly-near-far problem in RF-powered networks can be mitigated by choosing appropriate device-To-device (D2D) communication mode and implementing energy-efficient information transfer (IT). In this work, we present a novel RF energy harvesting architecture where each transmitting-receiving user pair is allocated a disjoint channel for its communication which is fully powered by downlink energy transfer (ET) from hybrid access point (HAP). Considering that each user pair can select either D2D or cellular mode of communication, we propose an optimized transmission protocol controlled by the HAP that involves harvested energy-Aware jointly optimal mode selection (MS) and time allocation (TA) for ET and IT to maximize the sum-Throughput. Jointly global optimal solutions are derived by efficiently resolving the combinatorial issue with the help of optimal MS strategy for a given TA for ET. Closed-form expressions for the optimal TA in D2D and cellular modes are also derived to gain further analytical insights. Numerical results show that the joint optimal MS and TA, which significantly outperforms the benchmark schemes in terms of achievable RF-powered sum-Throughput, is closely followed by the optimal TA scheme for D2D users. In fact, about 2/3 fraction of the total user pairs prefer to follow the D2D mode for efficient RF-powered IT.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Energy efficiency; Energy harvesting; Energy transfer; Throughput, Closed-form expression; D2D communications; Deviceto-device (D2D) communication; Global optimal solutions; Information transfers; RF energy harvesting; Throughput maximization; Transmission protocols, Power management (telecommunication)
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-155744 (URN)10.1109/GLOCOM.2017.8254221 (DOI)9781509050192 (ISBN)9781509050208 (ISBN)
Conference
GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore 4 – 8 December 2017
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved
Mishra, D., Alexandropoulos, G. C. & De, S. (2018). Harvested power fairness optimization in MISO SWIPT multicasting IoT with individual constraints. In: 2018 IEEE International Conference on Communications (ICC): . Paper presented at 2018 IEEE International Conference on Communications (ICC), 20-24 May, Kansas City, MO, USA (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Harvested power fairness optimization in MISO SWIPT multicasting IoT with individual constraints
2018 (English)In: 2018 IEEE International Conference on Communications (ICC), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we consider a Multiple Input Single Output (MISO) multicasting Internet of Things (IoT) system comprising of a multiantenna Transmitter (TX) that simultaneously transfers information and power to low power and data hungry IoT devices. Each IoT device is assumed to be equipped with Power Splitting (PS) hardware that enables Energy Harvesting (EH) and imposes an individual Quality of Service (QoS) constraint to the downlink communication. We study the joint design of TX precoding and IoT PS ratios for the considered MISO Simultaneous Wireless Information and Power Transfer (SWIPT) multicasting IoT with the objective of maximizing the minimum harvested energy among IoT, while satisfying their individual QoS requirements. In our novel EH fairness maximization formulation, we adopt a generic Radio Frequency (RF) EH model capturing practical rectification operation, and resulting in a nonconvex optimization problem. For this problem, we first present an equivalent Semi- Definite Relaxation (SDR) for the considered design problem and prove that it possesses unique global optimality. Then, capitalizing on our derived tight upper and lower bounds on the optimal solution, we present an efficient algorithmic implementation for the jointly optimal TX precoding and IoT PS ratio parameters. Insights on the optimal TX precoding structure are also presented. Representative numerical results including comparisons with benchmark schemes corroborate the usefulness of the proposed design and provide useful insights on the interplay of critical system parameters on the optimized power vs achievable rate trade off.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Series
IEEE International Conference on Communications (ICC), E-ISSN 1938-1883 ; 2018
Keywords
Economic and social effects; Energy harvesting; Energy transfer; Multicasting; Quality of service; Structural optimization, Downlink communications; Internet of Things (IOT); Multi-antenna transmitters; Multiple input single outputs; Nonconvex optimization problem; Quality of Service constraints; Semidefinite relaxation; Simultaneous wireless information and power transfer (SWIPT), Internet of things
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-155738 (URN)10.1109/ICC.2018.8422252 (DOI)9781538631805 (ISBN)9781538631812 (ISBN)
Conference
2018 IEEE International Conference on Communications (ICC), 20-24 May, Kansas City, MO, USA
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-04-08Bibliographically approved
Mishra, D. & Alexandropoulos, G. C. (2018). Harvested power maximization in QoS-Constrained MIMO SWIPT with generic RF harvesting model. In: 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP): . Paper presented at 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 10-13 December, Curacao, Netherlands Antilles (pp. 1-5). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>Harvested power maximization in QoS-Constrained MIMO SWIPT with generic RF harvesting model
2018 (English)In: 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-5Conference paper, Published paper (Refereed)
Abstract [en]

We consider the problem of maximizing the harvested power in Multiple Input Multiple Output (MIMO) Simultaneous Wireless Information and Power Transfer (SWIPT) systems with power splitting reception. Different from recently proposed designs, we target with our novel problem formulation at the jointly optimal transmit precoding and receive uniform power splitting (UPS) ratio maximizing the harvested power, while ensuring that the Quality-of-Service (QoS) requirement of the MIMO link is satisfied. We assume generic practical Radio Frequency (RF) Energy Harvesting (EH) receive operation that results in a non-convex optimization problem for the design parameters, which we then solve optimally after formulating it in an equivalent generalized convex form. Our representative results including comparisons of achievable EH gains with benchmark schemes provide key insights on various system parameters.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Array processing; Convex optimization; Energy harvesting; Energy transfer; MIMO systems; Uninterruptible power systems, Design parameters; Nonconvex optimization; Power splitting; Problem formulation; Qualityof-service requirement (QoS); Radio-frequency energy harvesting; Simultaneous wireless information and power transfer (SWIPT); Transmit precoding, Quality of service
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-155741 (URN)10.1109/CAMSAP.2017.8313150 (DOI)9781538612514 (ISBN)9781538612507 (ISBN)9781538612521 (ISBN)
Conference
7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 10-13 December, Curacao, Netherlands Antilles
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved
Prasad, G., Mishra, D. & Hossain, A. (2018). Joint Optimization Framework for Operational Cost Minimization in Green Coverage-Constrained Wireless Networks. IEEE Transactions on Green Communications and Networking, 2(3), 693-706
Open this publication in new window or tab >>Joint Optimization Framework for Operational Cost Minimization in Green Coverage-Constrained Wireless Networks
2018 (English)In: IEEE Transactions on Green Communications and Networking, E-ISSN 2473-2400, Vol. 2, no 3, p. 693-706Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate the joint optimization of base station (BS) location, its density, and transmit power allocation to minimize the overall network operational cost required to meet an underlying coverage constraint at each user equipment (UE), which is randomly deployed following the binomial point process (BPP). As this joint optimization problem is nonconvex and combinatorial in nature, we propose a non-trivial solution methodology that effectively decouples it into three individual optimization problems. Firstly, by using the distance distribution of the farthest UE from the BS, we present novel insights on optimal BS location in an optimal sectoring type for a given number of BSs. After that we provide a tight approximation for the optimal transmit power allocation to each BS. Lastly, using the latter two results, the optimal number of BSs that minimize the operational cost is obtained. Also, we have investigated both circular and square field deployments. Numerical results validate the analysis and provide practical insights on optimal BS deployment. We observe that the proposed joint optimization framework, that solves the coverage probability versus operational cost tradeoff, can yield a significant reduction of about 65% in the operational cost as compared to the benchmark fixed allocation scheme.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Optimization;Resource management;Minimization;Quality of service;Switches;Power demand;Process control;Base station deployment;coverage probability;network operational cost;power allocation;global optimization
National Category
Computer and Information Sciences Communication Systems Signal Processing
Identifiers
urn:nbn:se:liu:diva-155770 (URN)10.1109/TGCN.2018.2828092 (DOI)
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved
Panda, B. S., Bhatta, B. K., Mishra, D. & De, S. (2018). New heuristics for strong minimum energy topology with reduced time complexity. In: 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS): . Paper presented at IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 17-20 December, Bhubaneswar, India (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>New heuristics for strong minimum energy topology with reduced time complexity
2018 (English)In: 2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), Institute of Electrical and Electronics Engineers (IEEE), 2018, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

The strong minimum energy topology (SMET) problem is to assign transmission range to a set of sensors, such that the resulting topology is strongly connected and the sum of transmit powers of all the sensors is minimized. This problem, having wide range of applications, is known to be NP-hard and also APX-hard for 3-dimension space. Several heuristics and approximation algorithms have been proposed for this problem. In this paper, we first present an enhanced version of Prim-incremental power greedy heuristic which improves the running time of the existing algorithm by a factor of n, i.e., from O(n3) to O(n2), where n is the number of nodes in the network. Simulations results are also presented to support the theoretical result. Next we propose a new heuristics for SMET problem called Hybrid heuristic, which is based on BorÛvka and Prim MST algorithms and is shown to have lower complexity than both of them. Lastly, we show that this Hybrid heuristics which can provide energy efficiency gains over the existing ones is also the fastest power greedy heuristics for SMET problem when the nodes and links of the network form a planar graph.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Approximation algorithms; Energy efficiency; Graph theory; Heuristic algorithms, Greedy heuristics; Heuristics and approximations; Hybrid heuristics; Lower complexity; Minimum-energy topologies; Nodes and links; Strongly connected; Transmission ranges, Complex networks
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-155739 (URN)10.1109/ANTS.2017.8384173 (DOI)9781538623473 (ISBN)9781538623466 (ISBN)9781538623480 (ISBN)
Conference
IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS), 17-20 December, Bhubaneswar, India
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved
Saini, R., Mishra, D. & De, S. (2018). Novel subcarrier pairing strategy for DF relayed secure OFDMA with untrusted users. In: 2017 IEEE Globecom Workshops (GC Wkshps): . Paper presented at 2017 IEEE Globecom Workshops (GC Wkshps), 4-8 Dec. 2017, Singapore (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE), 2018-January
Open this publication in new window or tab >>Novel subcarrier pairing strategy for DF relayed secure OFDMA with untrusted users
2018 (English)In: 2017 IEEE Globecom Workshops (GC Wkshps), Institute of Electrical and Electronics Engineers (IEEE), 2018, Vol. 2018-January, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

This paper investigates joint resource allocation problem involving subcarrier allocation, subcarrier pairing (SCP), and power allocation for maximizing sum secure rate in a decode-and-forward (DF) relay assisted OFDMA system with untrusted users. Optimal SCP is highlighted as a novel notion of channel gain tailoring rather than conventional channel gain matching. It is proven that the optimal SCP intends to pair subcarriers such that the variance between the effective channel gains is minimized. It is also shown that depending on the individual power budget constraints at source and the relay, SCP can take either a subordinate role for improving the energy efficiency or the main role of improving the spectral efficiency of the system. SCP as a channel gain tailoring strategy and its role in improving the spectral as well as energy efficiency of cooperative secure communication are highlighted through the simulation results.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
Budget control; Cooperative communication; Energy efficiency; Orthogonal frequency division multiplexing, Decode and forward; Joint resource allocations; OFDMA systems; Power allocations; Power budgets; Spectral efficiencies; Sub-carrier allocation; Subcarrier pairings, Frequency division multiple access
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-155743 (URN)10.1109/GLOCOMW.2017.8269225 (DOI)9781538639207 (ISBN)9781538639214 (ISBN)
Conference
2017 IEEE Globecom Workshops (GC Wkshps), 4-8 Dec. 2017, Singapore
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved
Mishra, D. & Alexandropoulos, G. C. (2018). Transmit Precoding and Receive Power Splitting for Harvested Power Maximization in MIMO SWIPT Systems. IEEE Transactions on Green Communications and Networking, 2(3), 774-786
Open this publication in new window or tab >>Transmit Precoding and Receive Power Splitting for Harvested Power Maximization in MIMO SWIPT Systems
2018 (English)In: IEEE Transactions on Green Communications and Networking, E-ISSN 2473-2400, Vol. 2, no 3, p. 774-786Article in journal (Refereed) Published
Abstract [en]

We consider the problem of maximizing the harvested power in Multiple Input Multiple Output (MIMO) Simultaneous Wireless Information and Power Transfer systems with power splitting reception. Different from recently proposed designs, with our optimization problem formulation we target for the jointly optimal transmit precoding and receive uniform power splitting ratio maximizing the harvested power, while ensuring that the quality-of-service requirement of the MIMO link is satisfied. We assume practical radio-frequency Energy Harvesting (EH) receive operation that results in a non-convex optimization problem for the design parameters, which we first formulate in an equivalent generalized convex problem that we then solve optimally. We also derive the globally optimal transmit precoding design for ideal reception. Furthermore, we present analytical bounds for the key variables of both considered problems along with tight high signal-to-noise ratio approximations for their optimal solutions. Two algorithms for the efficient computation of the globally optimal designs are outlined. The first requires solving a small number of non-linear equations, while the second is based on a two-dimensional (2-D) search having linear complexity. Computer simulation results are presented validating the proposed analysis, providing key insights on various system parameters, and investigating the achievable EH gains over benchmark schemes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2018
Keywords
MIMO communication;Radio frequency;Optimization;Precoding;Uninterruptible power systems;Complexity theory;Wireless communication;RF energy harvesting;MIMO;precoding;power splitting;rate-energy trade off;SWIPT;nonconvex optimization
National Category
Signal Processing Telecommunications Communication Systems
Identifiers
urn:nbn:se:liu:diva-155769 (URN)10.1109/TGCN.2018.2835409 (DOI)
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-04-01Bibliographically approved
Kumar, S., Mishra, D. & De, S. (2017). An accurate channel model for optimizing effect of non-LOS component in RF energy transfer. In: 23rd National Conference on Communications, NCC 2017: . Paper presented at Twenty-third National Conference on Communications (NCC), 2-4 March, Chennai, India (pp. 1-6). Institute of Electrical and Electronics Engineers (IEEE)
Open this publication in new window or tab >>An accurate channel model for optimizing effect of non-LOS component in RF energy transfer
2017 (English)In: 23rd National Conference on Communications, NCC 2017, Institute of Electrical and Electronics Engineers (IEEE), 2017, p. 1-6Conference paper, Published paper (Refereed)
Abstract [en]

Self-sustainability of wireless sensor nodes can be realized with the help of controlled radio frequency energy transfer (RF-ET). However due to significant energy loss in wireless dissipation, there is a need for novel schemes to improve the end-To-end RF-ET efficiency. In this work we propose a new channel model for accurately characterizing the harvested DC power at the receiver. This model incorporates the effects of non-line of sight (NLOS) component along with the other factors, such as, polarization of transmitting field, radiation pattern of transmit and receive antennas, polarization loss factor, and efficiency of power harvester circuit. We have validated accuracy of the proposed model by carrying out experiments in an anechoic chamber. In addition to this characterization, we formulate an optimization problem by accounting for the effect of NLOS component to maximize the RF-ET efficiency. To solve this nonconvex problem, we present a computationally-efficient golden section based iterative algorithm. Finally, via numerical investigation we show that significant efficiency improvement can be achieved with

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keywords
Energy dissipation; Energy transfer; Iterative methods; Mobile telecommunication systems; Optimization; Polarization; Radiation effects; Receiving antennas; Sensor nodes, Computationally efficient; Efficiency improvement; Iterative algorithm; Numerical investigations; Optimization problems; Polarization loss; Radio-frequency energy; Wireless sensor node, Directional patterns (antenna)
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-155747 (URN)10.1109/NCC.2017.8077106 (DOI)9781509053568 (ISBN)9781509053575 (ISBN)
Conference
Twenty-third National Conference on Communications (NCC), 2-4 March, Chennai, India
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-03-26Bibliographically approved
Mishra, D., De, S. & Krishnaswamy, D. (2017). Dilemma at RF Energy Harvesting Relay: Downlink Energy Relaying or Uplink Information Transfer?. IEEE Transactions on Wireless Communications, 16(8), 4939-4955
Open this publication in new window or tab >>Dilemma at RF Energy Harvesting Relay: Downlink Energy Relaying or Uplink Information Transfer?
2017 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 16, no 8, p. 4939-4955Article in journal (Refereed) Published
Abstract [en]

The performance of RF powered communication networks is bottlenecked by the short downlink energy transfer range and the doubly near-far problem faced in uplink information transfer to hybrid access point (HAP). These problems can be resolved by cooperation of an RF energy harvesting node R present between HAP and RF energy harvesting information source S. However, there lies a dilemma at R on whether to transfer its harvested energy to S or to act as an information relay for transferring its data to HAP in a two-hop fashion. This paper resolves this dilemma at R by providing insights into its optimal positions suited for either energy relaying (ER) or information relaying (IR). It also investigates the possibilities of integrated ER and IR along with the regions where neither ER nor IR will be useful. In this regard, while considering Rician fading channels and practical nonlinear RF energy harvesting model, the expression for mean harvested dc power at S via energy transfer from HAP and ER from R is first derived. The closed-form outage probability expression is also derived for decode-and-forward relaying with maximal-ratio-combining at HAP over Rician channels. Using these expressions, insights into optimal relaying mode is obtained along with global-optimal utilization of harvested energy at R for ER and IR to maximize the delay-limited RF-powered throughput. Numerical results validate the analysis and provide insights into the optimal relaying mode.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017
Keywords
Energy transfer; Fading channels; Outages; Rayleigh fading, Generalized convexity; Integrated informations; Outage analysis; RF energy harvesting; Rician fading; Throughput maximization, Energy harvesting
National Category
Communication Systems Signal Processing Computer and Information Sciences
Identifiers
urn:nbn:se:liu:diva-155748 (URN)10.1109/TWC.2017.2704084 (DOI)
Available from: 2019-03-26 Created: 2019-03-26 Last updated: 2019-04-01Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-3225-6495

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