Estimation with Applications to Tracking and Navigation
Estimation with Applications to Tracking and Navigation
Medium access control with coordinated adaptive sleeping for wireless sensor networks
IEEE/ACM Transactions on Networking (TON)
Topology control in wireless ad hoc and sensor networks
ACM Computing Surveys (CSUR)
Exploiting mobility for energy efficient data collection in wireless sensor networks
Mobile Networks and Applications
Energy conservation in wireless sensor networks: A survey
Ad Hoc Networks
FloodNet: coupling adaptive sampling with energy aware routing in a flood warning system
Journal of Computer Science and Technology
IEEE Transactions on Signal Processing
Decentralized Activation in Dense Sensor Networks via Global Games
IEEE Transactions on Signal Processing - Part I
Mobility-based communication in wireless sensor networks
IEEE Communications Magazine
Multi-variate quickest detection of significant change process
GameSec'11 Proceedings of the Second international conference on Decision and Game Theory for Security
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In this paper, formation of optimal coalitions of nodes is investigated for data acquisition in bearings-only target localization such that the average sleep time allocated to the nodes is maximized. Targets are required to be localized with a prespecified accuracy where the localization accuracy metric is defined to be the determinant of the Bayesian Fisher information matrix (B-FIM). We utilize cooperative game theory as a tool to devise a distributed dynamic coalition formation algorithm in which nodes autonomously decide which coalition to join while maximizing their feasible sleep times. Nodes in the sleep mode do not record any measurements, hence, save energy in both sensing and transmitting the sensed data. It is proved that if each node operates according to this algorithm, the average sleep time for the entire network converges to its maximum feasible value. In numerical examples, we illustrate the tradeoff between localization accuracy and the average sleep time allocated to the nodes and demonstrate the superior performance of the proposed scheme via Monte Carlo simulations.