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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Martalo, M. Ferrari, G. |
| Copyright Year | 1997 |
| Abstract | In this letter, we present a simple information-theoretic framework to analyze clustered sensor networks with hierarchical multi-level majority-like fusion and decentralized detection. The sensor nodes observe a binary phenomenon and transmit their own data to an access point (AP), possibly through intermediate fusion centers (FCs). We investigate the impact of uniform and non-uniform clustering on the system performance, evaluated in terms of mutual information between the true phenomenon status and its estimate at the AP. Being the overall system binary-input binary-output (BIBO), it will be shown that the probability of decision error (Pe) is a specific function of the input-output mutual information (I). In other words, the network operational point lies over a specific Pe - I curve and depends on the network characteristics (e.g., topology, observation and communication noise levels, etc.). |
| File Size | 237126 |
| File Format | |
| ISSN | 10897798 |
| Volume Number | 14 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Information analysis Sensor phenomena and characterization Sensor fusion Mutual information Relays Information theory Wireless sensor networks System performance Network topology Noise level noisy communication links, information-theoretic framework Clustered sensor networks, decentralized detection |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Modeling and Simulation Computer Science Applications |
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