Directed diffusion: a scalable and robust communication paradigm for sensor networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Wireless sensor networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Power-Aware Localized Routing in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
Energy balanced data propagation in wireless sensor networks
Wireless Networks
On the Problem of Energy Efficiency of Multi-Hop vs One-Hop Routing in Wireless Sensor Networks
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
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Energy efficiency is one of the primary challenges to the successful application of wireless sensor networks (WSNs) since sensors can not be recharged easily once they are deployed. By carefully select the multi-hop number, energy consumption during routing process can be largely reduced and network lifetime can get prolonged. Although it is commonly agreed that multi-hop transmission is more energy efficient than direct transmission, especially when the source node is far away from sink node, how to determine the optimal hop number in both theoretical and practical network environment with constraint conditions is still a nontrivial problem. In this paper, we focus on theoretical deduction of the optimal hop number under one dimensional linear network environment. Then, we extend the deduced results to the practical sensor network. We also provide the selection of sub-optimal hop number under practical sensor network when the sensors are randomly deployed. The preliminary simulation results show that our optimal hop number based routing algorithm can save much more energy than many popular routing algorithms for WSNs.