Data networks
Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Online power-aware routing in wireless Ad-hoc networks
Proceedings of the 7th annual international conference on Mobile computing and networking
Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
An on-demand minimum energy routing protocol for a wireless ad hoc network
ACM SIGMOBILE Mobile Computing and Communications Review
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
Application-specific protocol architectures for wireless networks
Application-specific protocol architectures for wireless networks
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
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Wireless sensor networks are becoming increasingly important in recent years due to their ability to detect and convey real-time in-situ scenes for many civil and military applications. A major technical challenge for a wireless sensor network lies in the energy constraint at battery-powered nodes, which poses a fundamental limit on the network lifetime. We consider two-tiered wireless sensor networks and address the network lifetime problem for upper-tier aggregation and forwarding nodes (AFNs). Prior efforts have formulated the network lifetime problem into a linear programming (LP) problem that results in a multi-session flow routing solution. Under multi-session flow routing, each AFN must be equipped with multiple transmitters to reach various destinations at the same time, which poses scalability problem in practice. In this paper, we present SEES (for "Smart Energy Exploitation and Sharing"), which is a single-session flow routing solution (requiring only a single pair of transmitter/receiver at each AFN). SEES seeks to maximize network lifetime through energy sharing among the AFNs and following the max-min concept. Simulation results show that the SEES algorithm, albeit employing single-session flow routing, can match closely the maximum network lifetime performance obtained by an optimal multi-session flow routing solution.