An environmental energy harvesting framework for sensor networks
Proceedings of the 2003 international symposium on Low power electronics and design
Performance aware tasking for environmentally powered sensor networks
Proceedings of the joint international conference on Measurement and modeling of computer systems
Closed and Open Loop Optimal Control of Buffer and Energy of a Wireless Device
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Dynamic node activation in networks of rechargeable sensors
IEEE/ACM Transactions on Networking (TON)
Design considerations for solar energy harvesting wireless embedded systems
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Perpetual environmentally powered sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Near-optimal activation policies in rechargeable sensor networks under spatial correlations
ACM Transactions on Sensor Networks (TOSN)
Steady and fair rate allocation for rechargeable sensors in perpetual sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Quickest change detection in multiple on-off processes
ICASSP '09 Proceedings of the 2009 IEEE International Conference on Acoustics, Speech and Signal Processing
Rechargeable sensor activation under temporally correlated events
Wireless Networks
IEEE Wireless Communications
Multi-sensor activation for temporally correlated event monitoring with renewable energy sources
International Journal of Sensor Networks
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Sensor networks have major applications in environmental monitoring, relief operations, surveillance, health-care and defense. Future sensor networks would comprise of sensing devices with energy harvesting capabilities from renewable energy sources such as solar power. Multiple sensor nodes deployed in the region of interest would collaborate to achieve a global objective, such as detection of application specific events. This paper focuses on the design of efficient algorithms for multisensor activation in order to optimize the overall event detection probability. The recharge-discharge dynamics of the individual rechargeable sensor nodes, along with temporally correlated nature of event occurrences makes the optimal multi-sensor event detection question very challenging. We formulate the dynamic multi-sensor event detection question in a stochastic optimization framework, and design efficient sensor activation algorithms. Particularly, we analyze certain classes of threshold activation policies and show that they achieve near-optimal performance when the threshold is chosen carefully. Specifically, we show that a time-invariant threshold policy, which attempts to maintain a fixed number (appropriately chosen) of sensors active at all times, is optimal in absence of temporal correlations. Moreover, the same energy-balancing time-invariant threshold policy approaches optimality in presence of temporal correlations as well, albeit under certain limiting assumptions. Through simulation studies, we compare the performance of this time-invariant policy with energy-balancing correlation-dependent policies, and observe that although the latter perform better, the performance difference is rather small.