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 |
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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. |
doi_str_mv | 10.1109/TIE.2018.2873517 |
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The developed results also show the tradeoff between communications and computation performance.</description><subject>Actuation</subject><subject>Algorithms</subject><subject>Computation</subject><subject>Computer simulation</subject><subject>Convergence</subject><subject>Cost function</subject><subject>Distributed algorithm</subject><subject>Distributed algorithms</subject><subject>Estimation</subject><subject>Heuristic algorithms</subject><subject>hybrid event-time-driven scheme</subject><subject>Optimization</subject><subject>sensor network (SN)</subject><subject>Sensors</subject><subject>Silicon</subject><subject>Time synchronization</subject><subject>Tradeoffs</subject><issn>0278-0046</issn><issn>1557-9948</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEFLAzEQhYMoWKt3wUvA89aZ7KZJjqWttlDsofW87G4mmOp2a7JV6q93S4swMMzMe2_gY-weYYAI5mk9nw4EoB4IrVKJ6oL1UEqVGJPpS9YDoXQCkA2v2U2MGwDMJMoeW434xMc2-HLfkuWzQxm85dNv2rbJ2teUTILvBr6q3qkm7prAl7vW1_63aH2z5ctvCnxF29gdXqn9acJHvGVXrviMdHfuffb2PF2PZ8li-TIfjxZJJQy2iVRC2QItSFAGyGRopIIK3HGpCo1orAVXlKkTqdNUYFWV1pEFnQJKm_bZ4yl3F5qvPcU23zT7sO1e5kJ0LLrCYaeCk6oKTYyBXL4Lvi7CIUfIj-jyDl1-RJef0XWWh5PFE9G_XGdaD6VJ_wCXe2ol</recordid><startdate>20190901</startdate><enddate>20190901</enddate><creator>Hu, Bin</creator><creator>Guan, Zhi-Hong</creator><creator>Chen, Guanrong</creator><creator>Shen, Xuemin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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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.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TIE.2018.2873517</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-1381-7418</orcidid><orcidid>https://orcid.org/0000-0001-7997-0314</orcidid></addata></record> |
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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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