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Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications
作者姓名:Xiao-Lin  Li  and  Jian-Nong  Cao
作者单位:Internet;Mobile;Computing;Department;Hong;Kong;Polytechnic;University;
基金项目:the National Science Foundation of USA under Grant No.CNS-0709329;;Hong Kong Polytechnic University via the ICRG Grant No.G-YE57,Hong Kong RGC via the grant of a Research Center for Ubiquitous Computing,and the National Hi-Tech Research;;Development 863 Program of China under Grant No.2006AA01Z231.
摘    要:To minimize the execution time of a sensing task over a multi-hop hierarchical sensor network,we present a coordinated scheduling method following the divisible load scheduling paradigm.The proposed scheduling strategy builds on eliminating transmission collisions and idle gaps between two successive data transmissions.We consider a sensor network consisting of several clusters.In a cluster,after related raw data measured by source nodes are collected at the fusion node, in-network data aggregation is fu...


Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications
Xiao-Lin Li and Jian-Nong Cao.Coordinated Workload Scheduling in Hierarchical Sensor Networks for Data Fusion Applications[J].Journal of Computer Science and Technology,2008,23(3):355-364.
Authors:Xiao-Lin Li  Jian-Nong Cao
Affiliation:(1) Scalable Software Systems Lab, Department of Computer Science, Oklahoma State University, Stillwater, OK, 74078, U.S.A.;(2) Internet and Mobile Computing Lab, Department of Computing, Hong Kong Polytechnic University, Hung Hom Kowloon, Hong Kong, China
Abstract:To minimize the execution time of a sensing task over a multi-hop hierarchical sensor network,we present a coordinated scheduling method following the divisible load scheduling paradigm.The proposed scheduling strategy builds on eliminating transmission collisions and idle gaps between two successive data transmissions.We consider a sensor network consisting of several clusters.In a cluster,after related raw data measured by source nodes are collected at the fusion node, in-network data aggregation is furth...
Keywords:wireless sensor networks  load scheduling  divisible load theory  data fusion  
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