Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Proceedings of the 8th annual international conference on Mobile computing and networking
Maximum lifetime routing in wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
An Online Heuristic for Maximum Lifetime Routing in Wireless Sensor Networks
IEEE Transactions on Computers
Maximizing the Lifetime of Wireless Sensor Networks through Optimal Single-Session Flow Routing
IEEE Transactions on Mobile Computing
Energy efficient routing with delay guarantee for sensor networks
Wireless Networks
Joint routing and link rate allocation under bandwidth and energy constraints in sensor networks
IEEE Transactions on Wireless Communications
Joint optimization of energy allocation and routing problems in wireless sensor networks
Wireless Communications & Mobile Computing
Distributed algorithms for maximum lifetime routing in wireless sensor networks
IEEE Transactions on Wireless Communications
Maximum battery life routing to support ubiquitous mobile computing in wireless ad hoc networks
IEEE Communications Magazine
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In wireless sensor networks, one of the key challenges is to achieve minimum energy consumption to maximise network lifetime. In fact, lifetime depends on many parameters: the topology of the sensor network, the data aggregation regime in the network, the channel access schemes, the routing protocols, and the energy model for transmission. In this paper, we tackle the routing challenge for maximum lifetime of the sensor network. We introduce a novel Linear Programming LP approach to the maximum lifetime routing problem. To the best of our knowledge, this is the first mathematical programming of the maximum lifetime routing problem that considers the operation modes of the node. Solution of the LP gives the upper analytical bound for the network lifetime. To illustrate the application of the optimisation model, we solved the problem for different parameter settings for an example network.