The broadcast storm problem in a mobile ad hoc network
MobiCom '99 Proceedings of the 5th 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
Efficient flooding with Passive Clustering (PC) in ad hoc networks
ACM SIGCOMM Computer Communication Review
Directed diffusion for wireless sensor networking
IEEE/ACM Transactions on Networking (TON)
Distributed Energy-conserving Routing Protocols
HICSS '03 Proceedings of the 36th Annual Hawaii International Conference on System Sciences (HICSS'03) - Track 9 - Volume 9
Matching data dissemination algorithms to application requirements
Proceedings of the 1st international conference on Embedded networked sensor systems
Energy-efficient surveillance system using wireless sensor networks
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Habitat monitoring with sensor networks
Communications of the ACM - Wireless sensor networks
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
Telos: enabling ultra-low power wireless research
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Abstract frames for reducing overhearing in wireless sensor networks
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
Routing techniques in wireless sensor networks: a survey
IEEE Wireless Communications
Minimum energy mobile wireless networks
IEEE Journal on Selected Areas in Communications
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In traditional approaches to energy-efficient routing, a node needs to receive routing messages from all of its neighbors to be able to select the best route. In this work, we propose a technique that enables the best route selection based on exactly one message reception. We call the resulting routing protocol O(1)-reception. In O(1)-reception, each node delays forwarding of routing messages (RREQs) for an interval inversely proportional to its residual energy. This energy-delay mapping technique makes it possible to enhance an existing min-delay routing protocol into an energy-aware routing that maximizes the lifetime of sensor networks. We also identify comparative elements that help us to perform a thorough a posteriori comparison of the mapping functions in terms of the route selection precision. Simulation results show that our mapping functions select routes with very high precision while keeping the propagation delay of routing messages reasonable. In addition, we show that redundant messages filtering significantly extends lifetime of sensor networks compared to classical maximum lifetime approaches in which no filtering is applied.