GPSR: greedy perimeter stateless routing for wireless networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Performance of multipath routing for on-demand protocols in mobile ad hoc networks
Mobile Networks and Applications
Highly-resilient, energy-efficient multipath routing in wireless sensor networks
ACM SIGMOBILE Mobile Computing and Communications Review
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Performance Study of a Multipath Routing Method for Wireless Mobile Ad Hoc Networks
MASCOTS '01 Proceedings of the Ninth International Symposium in Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Taming the underlying challenges of reliable multihop routing in sensor networks
Proceedings of the 1st international conference on Embedded networked sensor systems
Energy-efficient forwarding strategies for geographic routing in lossy wireless sensor networks
SenSys '04 Proceedings of the 2nd international conference on Embedded networked sensor systems
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Future sensor networks will be consisted of large number of untethered and unattended sensors. Energy efficiency and load balance will be two important design issues for these networks. Some researches [2] [3] have found that topology control, which changes the set of neighbors of some nodes in the networks, can be used to improve the energy efficiency and load balance. In this paper, we take link reliability and multi-path into consideration when designing topology control algorithms. Based on an analytical link loss model [8], the relationship of energy efficiency, load balance and number of neighbors is analyzed. We found that there is a contradiction in improving energy efficiency and load balance at the same time. A layered topology control method LELBM (Layered Energy-efficient and Load Balance Method) is proposed to adjusting network’s topology for increasing energy efficiency and meanwhile getting good load balance. Analysis and simulation show that this method can significantly improve the network’s performance.