Uniform thresholding based transmission policy for energy harvesting wireless sensor nodes in fading channel
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Uniform thresholding based transmission policy for energy harvesting wireless sensor nodes in fading channel Arpita Jaitawat1
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Arun Kumar Singh1
Accepted: 3 November 2020 Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract The work presents a novel computationally efficient transmission policy for throughput maximization over point-to-point sensor links employing harvest-use-store protocol with finite storage capacity battery. In these settings, under finite averaging duration constraint, the stochastic dynamic programming (SDP) technique provides the optimal solution for throughput maximization, but the implementation complexity for SDP is prohibitively large. Thus, there is a need to explore new solutions that can provide near-optimal throughput with lower implementation complexity. The work in this paper presents a adaptive transmission policy based on uniform thresholding that achieves a near-optimal throughput obtainable by SDP. Quantitative comparison with optimal online policies shows that the proposed policy attains performance close to SDP with lower implementation complexity. Keywords Energy harvesting Throughput maximization Dynamic programming Uniform threshold Transmission policy
1 Introduction Communication protocols defined for energy harvesting (EH) systems take into consideration the randomness of the harvested energy and the usage of available energy [13, 29]. These two factors constrain the transmit power policy, affecting the essential metrics of the energy harvesting system, i.e., ‘energy efficiency’ and ‘throughput’. Energy efficiency focuses on minimizing energy utilization per bit transmission and is analyzed for battery-supplemented harvested system [38], where the fixed-charge battery is the primary source of energy and a harvesting unit acts as a secondary source of energy. Energy management is done to reduce the dependency on the primary source, which leads to lower energy use resulting in higher efficiency [25]. On the contrary, throughput focuses on the number of bits to be transmitted in the available energy for autonomous (no energy storage device) and autonomous& Arpita Jaitawat [email protected] Arun Kumar Singh [email protected] 1
hybrid (battery or supercapacitor as a storage device) harvesting system like multi-hop system [41], data and energy integrated communication network (DEIN) [30], broadcast channel [6], wireless sensor network with backscatter communication [26] and without backscatter communication [43], mobile nodes [5], cognitive radio [23], wireless powered communication network [17] and device-to-device (D2D) communication [14]. As a part of this work, we consider autonomous hybrid harvesting systems and throughput maximization as the objective of our study. The performance of an energy harvesting communication system is defined by how efficiently the harvested energy can be utilized since the ambient energy may arrive dynamically [7]. The randomness of the energy arrival inh
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