naa a22 4500 510798454 CHVBK 20180411083345.0 cr unu---uuuuu 180411e20131001xx s 000 0 eng 10.1007/s11277-013-1111-2 doi (NATIONALLICENCE)springer-10.1007/s11277-013-1111-2 A Robust and Efficient Cross-Layer Optimal Design in Wireless Sensor Networks [Elektronische Daten] [Mingwei Li, Yuanwei Jing, Chengtie Li] When using wireless sensor networks (WSNs) for data transmission, some critical respects should be considered. These respects are limited computational power, storage capability and energy consumption. To save the energy in WSNs and prolong the network lifetime, we design for the signal control input, routing selection and capacity allocation by the optimization model based on compressed sensing (CS) framework. The reasonable optimization model is decomposed into three subsections for three layers in WSNs: congestion control in transport layer, scheduling in link layer and routing algorithm in network layer, respectively. These three functions interact and are regulated by congestion ratio so as to achieve a global optimality. Congestion control can be robust and stable by CS theory that a relatively small number of the projections for a sparse signal contain most of its salient information. Routing selection is abided by fair resource allocation principle. The resources can be allocated more and more to the channel in the case of not causing more severe congestion, which can avoid conservatively reducing resources allocation for eliminating congestion. Simulation results show the stability of our algorithm, the accurate ratio of CS, the throughput, as well as the necessity of considering congestion in WSNs. The Author(s), 2013 Cross-layer design nationallicence Compressed sensing nationallicence Energy consumption nationallicence Stability nationallicence Wireless sensor networks nationallicence Li Mingwei School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China aut Jing Yuanwei School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China aut Li Chengtie School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China aut Wireless Personal Communications Springer US; http://www.springer-ny.com 72/4(2013-10-01), 1889-1902 0929-6212 72:4<1889 2013 72 11277 https://doi.org/10.1007/s11277-013-1111-2 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-013-1111-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Li Mingwei School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China aut NATIONALLICENCE 700 1- Jing Yuanwei School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China aut NATIONALLICENCE 700 1- Li Chengtie School of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, China aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 72/4(2013-10-01), 1889-1902 0929-6212 72:4<1889 2013 72 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer