Abstract—Survivability is one of the critical issues and themost important research topics in the fields of wirelesssensor networks (WSNs). Energy efficiency is one of thedetermining factors for survivability and lifetime of WSNs.In the WSNs, severe energy issue necessitates energyefficientapproach to fulfill application objectives.In this paper, we propose an Energy OptimizationApproach based on Cross-Layer for Wireless SensorNetworks named as EOA, which consider the joint optimaldesign of the physical, medium access control (MAC), androuting layer. The focus of EOA is on the computation ofoptimal transmission power, routing, and duty-cycleschedule that optimize the WSNs energy-efficiency. We firstpropose a feedback algorithm that computes the propertransmission power level between nodes. Then, routingprotocol can make use of the transmission power as a metricby choosing route with optimal power consumption toforward packets. Finally, the cross-layer routinginformation is exploited to form a duty-cycle schedule inMAC layer. EOA is validated on a CROSSBOW’s MicaZmote platform, and evaluated using the TOSSIM simulator,the simulation results show that EOA is an energy-efficientapproach and able to achieve significant performanceimprovement as well.
Index Terms—wireless sensor networks, energy optimization,cross-layer
Cite: Yuebin Bai, Shujuan Liu, Mo Sha, Yang Lu, and Cong Xu, "An Energy Optimization Protocol Based on Cross-Layer for Wireless Sensor Networks," Journal of Communications, vol. 3, no.6, pp. 27-34, 2008.
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