Cross-Layer Optimization Scheme Using Cooperative Diversity for Reliable Data Transfer in Wireless Sensor Networks
Author(s) -
Yongrui Chen,
Fei Qin,
Yulong Xing,
Dujdow Buranapanichkit
Publication year - 2014
Publication title -
international journal of distributed sensor networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.324
H-Index - 53
eISSN - 1550-1477
pISSN - 1550-1329
DOI - 10.1155/2014/714090
Subject(s) - computer science , cross layer optimization , cooperative diversity , computer network , fading , wireless sensor network , maximization , transmission (telecommunications) , wireless network , wireless , data transmission , resource allocation , reliability (semiconductor) , channel (broadcasting) , distributed computing , power (physics) , mathematical optimization , telecommunications , mathematics , physics , quantum mechanics
Cooperative diversity has been shown to provide significant performance gains in wireless networks where communication is impeded by channel fading. In resource constraint networks, the advantages of cooperation can be further exploited by optimally allocating the energy and bandwidth resources among users in a cross-layer way. In this paper, we investigate the problem of transmission power minimization and network lifetime maximization using cooperative diversity for wireless sensor networks, under the constraint of a target end-to-end transmission reliability and a given transmission rate. By utilizing a cross-layer optimization scheme, distributive algorithms which jointly consider routing, relay selection, and power allocation strategies are proposed for the reliability constraint wireless sensor networks. We demonstrate through simulations that the proposed cross-layer cooperative strategies achieve significant energy savings and prolong the network lifetime considerably.
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