Zacharias, Leena and Sundaresan, Rajesh (2008) Decentralized Sequential Change Detection using Physical Layer Fusion. In: IEEE Transactions on Wireless Communications, 7 (12, Pa). pp. 4999-5008.
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The problem of decentralized sequential detection with conditionally independent observations is studied. The sensors form a star topology with a central node called fusion center as the hub. The sensors make noisy observations of a parameter that changes from an initial state to a final state at a random time where the random change time has a geometric distribution. The sensors amplify and forward the observations over a wireless Gaussian multiple access channel and operate under either a power constraint or an energy constraint. The optimal transmission strategy at each stage is shown to be the one that maximizes a certain Ali-Silvey distance between the distributions for the hypotheses before and after the change. Simulations demonstrate that the proposed analog technique has lower detection delays when compared with existing schemes. Simulations further demonstrate that the energy-constrained formulation enables better use of the total available energy than the power-constrained formulation in the change detection problem.
|Item Type:||Journal Article|
|Additional Information:||Copyright IEEE, 2008. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
|Keywords:||Ali-Silvey distance;change detection;correlation;Markov decision process;multiple access channel; sequential detection;sensor network.|
|Department/Centre:||Division of Electrical Sciences > Electrical Communication Engineering|
|Date Deposited:||31 Aug 2009 10:17|
|Last Modified:||19 Sep 2010 05:00|
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