Power-aware routing in mobile ad hoc networks
MobiCom '98 Proceedings of the 4th annual ACM/IEEE international conference on Mobile computing and networking
A Framework for Battery-Aware Sensor Management
Proceedings of the conference on Design, automation and test in Europe - Volume 2
Dynamic node activation in networks of rechargeable sensors
IEEE/ACM Transactions on Networking (TON)
A Wireless Sensor Node Architecture Using Remote Power Charging, for Interaction Applications
DSD '07 Proceedings of the 10th Euromicro Conference on Digital System Design Architectures, Methods and Tools
Promoting Heterogeneity, Mobility, and Energy-Aware Voronoi Diagram in Wireless Sensor Networks
IEEE Transactions on Parallel and Distributed Systems
Estimation of the number of operating sensors in large-scale sensor networks with mobile access
IEEE Transactions on Signal Processing
IEEE Communications Magazine
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Wireless Sensor Networks (WSNs) are popular nowadays for applications ranging from environmental monitoring to object tracking and surveillance. But the sensors which are deployed are energy constrained. The nodes in WSNs deplete of their very limited energy over time. In this work, we consider a network of rechargeable sensors deployed in a random sensing environment. Using Markov Decision Processes (MDP), we analyze the sensor nodes having different levels of energies in the batteries, so as to maximize a generalized system performance in terms of recharge delay and the number of sensor nodes recharged. We have formulated a relationship between the residual energy level of a sensor node and the recharge delay. The simulation results establish the effectiveness of our approach in decreasing the number of passive nodes and the recharge delay in WSNs.