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http://hdl.handle.net/10397/806
| Title: | Coordinated workload scheduling in hierarchical sensor networks for data fusion applications | Authors: | Li, X Kang, H Cao, J |
Issue Date: | 2007 | Source: | MASS 2007: 4th IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems : 8-10 October 2007, Pisa, Italy, [p. 1-9] | 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 from 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 further considered. The scheduling strategies consist of two phases: intra-cluster scheduling and inter-cluster scheduling. Intra-cluster scheduling deals with assigning different fractions of a sensing workload among source nodes in each cluster; inter-cluster scheduling involves the distribution of fused data among all fusion nodes. Closed-form solutions to the problem of task scheduling are derived. Finally, numerical examples are presented to demonstrate the impacts of different system parameters such as the number of sensor nodes, measurement, communication, and processing speed, on the finish time and energy consumption. | Keywords: | Agglomeration Chlorine compounds Energy policy Fusion reactions Nuclear physics Scheduling Sensor networks Sensors Telecommunication equipment Transmissions |
Publisher: | IEEE | ISBN: | 978-142-44-1455-0 | Rights: | © 2007 IEEE. 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. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. |
| Appears in Collections: | Conference Paper |
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| coordinated-workload_07.pdf | 8.04 MB | Adobe PDF | View/Open |
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