Challenge: ultra-low-power energy-harvesting active networked tags (EnHANTs)
Proceedings of the 15th annual international conference on Mobile computing and networking
Joint power control, scheduling and routing for multihop energy harvesting sensor networks
Proceedings of the 4th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
Multi-sensor event detection under temporal correlations with renewable energy sources
WiOPT'09 Proceedings of the 7th international conference on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Optimal sleep-wake policies for an energy harvesting sensor node
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Optimal energy management policies for energy harvesting sensor nodes
IEEE Transactions on Wireless Communications
Power consumption in wireless sensor networks
Proceedings of the 7th International Conference on Frontiers of Information Technology
Multi-sensor activation for temporally correlated event monitoring with renewable energy sources
International Journal of Sensor Networks
Proceedings of the 6th ACM workshop on Performance monitoring and measurement of heterogeneous wireless and wired networks
The evolution game analysis of clustering for asymmetrical multi-factors in WSNs
Computers and Electrical Engineering
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Energy harvesting technologies are required for autonomous sensor networks for which using a power source from a fixed utility or manual battery recharging is infeasible. An energy harvesting device (e.g., a solar cell) converts different forms of environmental energy into electricity to be supplied to a sensor node. However, since it can produce energy only at a limited rate, energy saving mechanisms play an important role to reduce energy consumption in a sensor node. In this article we present an overview of the different energy harvesting technologies and the energy saving mechanisms for wireless sensor networks. The related research issues on energy efficiency for sensor networks using energy harvesting technology are then discussed. To this end, we present an optimal energy management policy for a solar-powered sensor node that uses a sleep and wakeup strategy for energy conservation. The problem of determining the sleep and wakeup probabilities is formulated as a bargaining game. The Nash equilibrium is used as the solution of this game.