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Content Provider | IEEE Xplore Digital Library |
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Author | Tran Minh Tam Ngo, H.Q. Truc, P.T.H. Sungyoung Lee |
Copyright Year | 2008 |
Description | Author affiliation: Dept. of Comput. Eng., Kyung Hee Univ., South Korea (Tran Minh Tam; Ngo, H.Q.; Truc, P.T.H.; Sungyoung Lee) |
Abstract | In-network aggregation is essential for correlated data gathering in wireless sensor networks which are resource-constraint in terms of energy, computation and storage. In this paper, we consider the problem of building a minimum cost hierarchical architecture for correlated data gathering with in-network aggregation, which is formulated as a min-sum optimization problem. To solve the problem, we first develop a minimum-cost distributed algorithm which involves only simple message-passing rules. The algorithm is then tuned to be energy-aware so that high-energy sensor nodes are preferably selected to become cluster heads (CHs), which act as encoding and relaying nodes for the raw sensing data from their corresponding one-hop member nodes. After the cluster formation phase, joint-entropy coding technique with explicit communication (specifically, foreign coding) is applied at every CH to remove possible data redundancy (due to the spatial data correlation) for in-network aggregation. Simulations show that the network lifetime can be significantly extended using our minimum cost cluster-based approach. |
Starting Page | 953 |
Ending Page | 958 |
File Size | 156148 |
Page Count | 6 |
File Format | |
ISBN | 9781424424238 |
DOI | 10.1109/ICCS.2008.4737325 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2008-11-19 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Wireless sensor networks Computer architecture Computer networks Energy storage Buildings Cost function Distributed algorithms Clustering algorithms Encoding Relays |
Content Type | Text |
Resource Type | Article |
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