ResAll: Energy efficiency maximization for wireless energy harvesting sensor networks
作者： Songtao Guo , Chunrong He , Yuanyuan Yang
DOI: 10.1109/SAHCN.2015.7338292
关键词: Wi-Fi array 、 Key distribution in wireless sensor networks 、 Computer science 、 Wireless sensor network 、 Transmitter power output 、 Real-time computing 、 Energy harvesting 、 Efficient energy use 、 Resource allocation 、 Wireless network
摘要: Energy harvesting is a promising solution to prolong the lifetime of energy-constrained wireless sensor networks. In particular, scavenging energy from ambient radio frequency (RF) signals has drawn lot attention recently. this paper, we apply simultaneous information and power transfer (SWIPT) clustered network such that cluster head node harvests received RF its members then employs harvested compensate consumed by data aggregating forwarding. network, how achieve high efficiency through trading off between decoding critical issue. To end, formulate rate resource allocation problem in WSN with SWIPT as non-convex constrained maximization problem. By exploiting fractional programming dual decomposition, further propose cross-layer (ResAll) algorithm consisting subalgorithms control, splitting solve efficiently optimally. Our simulation results reveal proposed ResAll converges within small number iterations, achieves optimal system balancing efficiency, rate, transmit ratio.
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