Energy Scavenging for Mobile and Wireless Electronics
IEEE Pervasive Computing
Trio: enabling sustainable and scalable outdoor wireless sensor network deployments
Proceedings of the 5th international conference on Information processing in sensor networks
Wireless adhoc sensor and actuator networks on the farm
Proceedings of the 5th international conference on Information processing in sensor networks
Long-duration solar-powered wireless sensor networks
Proceedings of the 4th workshop on Embedded networked sensors
Emerging techniques for long lived wireless sensor networks
IEEE Communications Magazine
On computer-aided design of energy efficient wireless sensor networks
Proceedings of the 6th International Wireless Communications and Mobile Computing Conference
Opportunistic routing in wireless sensor networks powered by ambient energy harvesting
Computer Networks: The International Journal of Computer and Telecommunications Networking
Distributed routing schemes with accessibility consideration in multi-hop wireless networks
IEEE Transactions on Wireless Communications
Probabilistic data collection protocols for energy harvesting wireless sensor networks
International Journal of Ad Hoc and Ubiquitous Computing
Energy-efficient beaconless geographic routing in energy harvested wireless sensor networks
Concurrency and Computation: Practice & Experience
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Energy consumption is an important issue in the design of wireless sensor networks which typically rely on non-renewable energy sources like batteries for power. Recent advances in ambient energy harvesting technologies have made it a viable alternative source of energy for powering wireless sensor networks perpetually. In this paper, we optimize network performance by finding the optimal routing algorithm and relay node placement scheme for wireless sensor networks powered by ambient energy harvesting. We evaluate the performance of three different variants of geographic routing algorithms and consider two relay node placement schemes, viz. uniform string topology and a cluster string topology. The performance metrics are network throughput (T), goodput (G), source sending rate (SR), efficiency (η), data delivery ratio (DR) and hop count (H). Simulation results obtained using the Qualnet simulator show that there is an optimal combination of routing algorithm and relay node placement scheme that maximizes the required performance metric. These results aim to provide insights into the impact of routing algorithms and relay node placement schemes on wireless sensor networks that rely solely on ambient energy harvesting for power.