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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lin Chen Qiu Xue-song Yang Yang Zhipeng Gao Zheng Qu |
| Copyright Year | 2012 |
| Description | Author affiliation: State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China (Lin Chen; Qiu Xue-song; Yang Yang; Zhipeng Gao; Zheng Qu) |
| Abstract | Since wireless sensor network has limited resources, it's important to design its task allocation algorithm reasonably to reduce energy consumption. The contract net is simple and flexible so that it can meet the needs of the wireless sensor network. In this paper, we introduce the improved C-MEANS algorithm to cluster nodes to decrease the number of bidders, and at the same time, the LMS algorithm is adopted to predict the bid value of the nodes. The simulation results show that the energy consumption and traffic flow are reduced, and the bid value more accurately reflects the status of the node when allocated tasks, which increased the complete rate of network tasks. |
| Starting Page | 000600 |
| Ending Page | 000604 |
| File Size | 708956 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781467327121 |
| ISSN | 15301346 |
| e-ISBN | 9781467327138 |
| e-ISBN | 9781467327114 |
| DOI | 10.1109/ISCC.2012.6249362 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-07-01 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Contracts Energy consumption Wireless sensor networks Least squares approximation Protocols Prediction algorithms Resource management C-MEANS LMS wireless sensor network contract net |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Mathematics Computer Networks and Communications Computer Science Applications Software |
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