Distributed Detection and Data Fusion
Distributed Detection and Data Fusion
Energy-Efficient Communication Protocol for Wireless Microsensor Networks
HICSS '00 Proceedings of the 33rd Hawaii International Conference on System Sciences-Volume 8 - Volume 8
Convex Optimization
Transmission control with imperfect CSI in channel-aware slotted ALOHA networks
IEEE Transactions on Wireless Communications
The good, bad and ugly: distributed detection of a known signal in dependent Gaussian noise
IEEE Transactions on Signal Processing
Type-Based Random Access for Distributed Detection Over Multiaccess Fading Channels
IEEE Transactions on Signal Processing
Type-Based Decentralized Detection in Wireless Sensor Networks
IEEE Transactions on Signal Processing
Decentralized detection in sensor networks
IEEE Transactions on Signal Processing
Type based estimation over multiaccess channels
IEEE Transactions on Signal Processing
Exploiting decentralized channel state information for random access
IEEE Transactions on Information Theory
Propagation measurements and models for wireless communications channels
IEEE Communications Magazine
Asymptotic results for decentralized detection in power constrained wireless sensor networks
IEEE Journal on Selected Areas in Communications
Optimal nonuniform deployment of sensors for distributed detection in wireless sensor networks
ACM Transactions on Sensor Networks (TOSN)
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In this paper, we propose a data-dependent transmission control policy over the slotted ALOHA MAC protocol and a cross-layered fusion rule that exploits MAC timing information for distributed detection in sensor networks. In this system, each sensor first makes a local decision at the beginning of each observation period and transmits the decision to the fusion center over a random access channel. Based on the slotted ALOHA random access protocol, we propose a class of data-dependent transmission control policies that assign to sensors their transmission probabilities according to the reliability of their local decisions. For the case with i.i.d. observations in each time slot, we show that the optimal transmission control function takes on the form of a thresholding function. That is, a sensor will transmit in a given time slot if and only if its local log-likelihood ratio exceeds a certain threshold. When observations are made only every several time slots, the message arrival time at the fusion center, which is spread over the observation period of duration K 1, will embed the reliability of the received sensors' decisions as a result of the data-dependent transmission control. This timing information can be accounted for in the fusion rule to further enhance performance. Finally, we extend the proposed strategies to multicluster sensor network scenarios, where the sensors' local decisions are transmitted to the fusion center in a two-hop fashion. We show, through numerical simulations, that the proposed schemes outperform both conventional slotted ALOHA and TDMA-based schemes that do not adopt cross-layered transmission and fusion strategies.