Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks
Proceedings of the 7th annual international conference on Mobile computing and networking
A taxonomy of wireless micro-sensor network models
ACM SIGMOBILE Mobile Computing and Communications Review
Utilizing Solar Power in Wireless Sensor Networks
LCN '03 Proceedings of the 28th Annual IEEE International Conference on Local Computer Networks
Design considerations for solar energy harvesting wireless embedded systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Energetic sustainability of routing algorithms for energy-harvesting wireless sensor networks
Computer Communications
Self-adapting maxflow routing algorithm for WSNs: practical issues and simulation-based assessment
CSTST '08 Proceedings of the 5th international conference on Soft computing as transdisciplinary science and technology
Dynamic routing trees with energy harvesting constraints for wireless body area networks
BodyNets '13 Proceedings of the 8th International Conference on Body Area Networks
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Environmentally-powered wireless sensor networks (WSNs) exploit renewable energy sources to make the lifetime of sensor nodes theoretically unlimited. This perspective requires a paradigm shift in the design of energy-aware WSNs: Instead of maximizing the lifetime under given energy constraints, we need to maximize the workload that can be sustained by a given distribution of environmental power. This paper formulates the maximum energetically sustainable workload problem (MESW) and we shows that it can be cast into an instance of a modified max-flow problem