WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
A time-varying opportunistic approach to lifetime maximization of wireless sensor networks
IEEE Transactions on Signal Processing
Markov decision process-based analysis of rechargeable nodes in wireless sensor networks
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
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This paper investigates the estimation of the number of operating sensors in a sensor network in which the data collection is made by a mobile access point. In this paper, an estimator based on the Good-Turing estimator of the missing mass is proposed and it is generalized to other related problems such as the estimation of the distribution of energy available at sensors. The estimator is analyzed using the theory of large deviations. Closed-form bounds on the large deviation exponent are presented and confidence intervals for the estimator are characterized.