A Distributed Hybrid Event-Time-Driven Scheme for Optimization Over Sensor Networks

In sensor networks (SNs), how to allocate the resources so as to optimize data gathering and network utility is an important and challenging task. This paper studies the distributed optimization problem in SNs. A distributed hybrid-driven algorithm based on the coordinate descent method is presented...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) 2019-09, Vol.66 (9), p.7199-7208
Hauptverfasser: Hu, Bin, Guan, Zhi-Hong, Chen, Guanrong, Shen, Xuemin
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creator Hu, Bin
Guan, Zhi-Hong
Chen, Guanrong
Shen, Xuemin
description In sensor networks (SNs), how to allocate the resources so as to optimize data gathering and network utility is an important and challenging task. This paper studies the distributed optimization problem in SNs. A distributed hybrid-driven algorithm based on the coordinate descent method is presented for the optimization purpose. The proposed optimization algorithm differs from the existing ones since the hybrid driven scheme allows more choices of actuation time, resulting a tradeoff between communications and computation performance. Applying the proposed algorithm, each sensor node is driven in a hybrid event time manner, which removes the requirement of strict time synchronization. The convergence and optimality of the proposed algorithm are analyzed, and then verified by simulation examples. The developed results also show the tradeoff between communications and computation performance.
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subjects Actuation
Algorithms
Computation
Computer simulation
Convergence
Cost function
Distributed algorithm
Distributed algorithms
Estimation
Heuristic algorithms
hybrid event-time-driven scheme
Optimization
sensor network (SN)
Sensors
Silicon
Time synchronization
Tradeoffs
title A Distributed Hybrid Event-Time-Driven Scheme for Optimization Over Sensor Networks
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