Online Multicasting for Network Capacity Maximization in Energy-Constrained Ad Hoc Networks
IEEE Transactions on Mobile Computing
A distributed energy efficient multicast routing algorithm for WANETs
International Journal of Sensor Networks
Integrated ad-hoc and cellular networking in indoor or faded environments
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
An efficient power-aware broadcast technique for wireless ad hoc networks
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
A Cross Layer Routing Protocol for Multihop Cellular Networks
Wireless Personal Communications: An International Journal
An energy-aware routing protocol for ad-hoc networks based on the foraging behavior in ant swarms
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
An ant swarm-inspired energy-aware routing protocol for wireless ad-hoc networks
Journal of Systems and Software
MLMH: a novel energy efficient multicast routing algorithm for WANETs
MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
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Most wireless ad hoc networks consist of mobile devices which operate on batteries. Power consumption in this type of network therefore is paramount important. To maximize the lifetime of an ad hoc network, it is essential to prolong each individual node (mobile) life through minimizing the total transmission energy consumption for each communication request. Therefore, an efficient routing protocol must satisfy that the energy consumption rate at each node is evenly distributed and at the same time the total transmission energy for each request is minimized. To devise a routing protocol meeting the above two conflict objectives simultaneously is very difficult due to the NP hardness of the problem. Instead, an approximation solution is desirable and appreciated.In this paper we focus on developing power-aware routing algorithms which find routing paths that maximize the lifetime of individual nodes and minimize the total transmission energy consumption, thereby prolong the life of the entire network. In particular, for an ad hoc network consisting of the same type of battery mobile nodes, two approximation algorithms are proposed. The running times of the proposed algorithms are determined by the accuracies of the approximation solutions. Compared with a previously known result, our algorithms have less energy overhead and can be implemented in a distributed environment. For an adhoc network equipped with different types of battery mobile nodes, a new power-aware routing protocol is proposed, and the algorithm can also be implemented distributively.