IEEE Transactions on Parallel and Distributed Systems
Energy-aware routing in MANETs: analysis and enhancements
MSWiM '02 Proceedings of the 5th ACM international workshop on Modeling analysis and simulation of wireless and mobile systems
Power-Aware Localized Routing in Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
Minimum energy disjoint path routing in wireless ad-hoc networks
Proceedings of the 9th annual international conference on Mobile computing and networking
Ad hoc Networking
Hybrid Greedy/multicasting Power-aware Routing Protocol in Ad Hoc Networks
ITCC '04 Proceedings of the International Conference on Information Technology: Coding and Computing (ITCC'04) Volume 2 - Volume 2
Ad Hoc Wireless Networks: Architectures and Protocols
Ad Hoc Wireless Networks: Architectures and Protocols
Maximum-lifetime routing algorithms for networks with omnidirectional and directional antennas
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Position-based routing in ad hoc networks
IEEE Communications Magazine
Lifetime evaluation of ad hoc networks
CSN '07 Proceedings of the Sixth IASTED International Conference on Communication Systems and Networks
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We define a Quality-of-Power-Service (QoPS) metric to evaluate the efficiency of power-aware routing protocols in wireless ad-hoc networks. The aim of power management of routing protocols is to prolong the life-time of individual nodes in wireless network and thus to increase the delivery rate of Unicast transactions. QoPS metric is applied to different location-based Unicast transaction protocols. The results confirm that powerrelative distribution of data streams in multi-paths Unicast transaction protocols consume substantially less energy from individual nodes than from other distribution methods. The locality distribution phenomenon discovered by the simulations explains, on the one hand, the long lifetime of large, dense, and highly degree wireless networks, and on the other hand, the short lifetime of small, sparse, and low degree networks.