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| Content Provider | Springer Nature Link |
|---|---|
| Author | Lu, Zongqing Tan, Su Lim Biswas, Jit |
| Copyright Year | 2013 |
| Abstract | Active Networks paradigm integrated with distributed data fusion has the potential to significantly reduce energy dissipation in wireless sensor networks, where energy conservation is the most challenging issue. This work aims to minimize energy cost when distributed data fusion is deployed for the Active Networks computing paradigm. First we propose an optimal solution for mapping task graph of distributed data fusion application into network. Optimal solution uses an exhaustive search algorithm for finding the placements with minimized power consumption. However, optimal solution has high computational complexity—O(mn $^{ k }$), where n denotes the number of network nodes, m is the number of fusion functions, and k is the maximum number of children a fusion function has in task graph and its children are also fusion functions. Then, an approximate solution with low complexity (O(mlog n + log$^{2}$ m)) is proposed called P2lace, which includes two phases, task graph partition and task graph placement. Finally, an extensive evaluation compares approximate solution with optimal solution. The results show that approximate solution is scalable with different task graph characteristics and network size and only causes slightly more transmission cost than optimal solution. And the algorithm without optimizing is shown to be applicable to the network, where the sink node does not have global information of entire network. |
| Starting Page | 1525 |
| Ending Page | 1536 |
| Page Count | 12 |
| File Format | |
| ISSN | 10220038 |
| Journal | Wireless Networks |
| Volume Number | 19 |
| Issue Number | 7 |
| e-ISSN | 15728196 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2013-02-05 |
| Publisher Place | Boston |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Wireless sensor networks Data fusion Task graph mapping Communications Engineering, Networks Computer Communication Networks Electrical Engineering Business Information Systems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Networks and Communications Information Systems Electrical and Electronic Engineering |
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