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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Florens, C. Sharif, M. McEliece, R.J. |
| Copyright Year | 1963 |
| Abstract | A fundamental function performed by a sensory network is the retrieval of data gathered collectively by sensor nodes. The metrics that measure the efficiency of this data collection process are time and energy. In this paper, we study via simple discrete mathematical models, the statistics of the data collection time in sensory networks. Specifically, we analyze the average minimum delay in collecting randomly located/distributed sensors data for networks of various topologies when the number of nodes becomes large. Furthermore, we analyze the impact of various parameters such as size of packet, transmission range, and channel erasure probability on the optimal time performance. Our analysis applies to directional antenna systems as well as omnidirectional ones. This paper focuses on directional antenna systems and briefly presents results on omnidirectional antenna systems. Finally, a simple comparative analysis shows the respective advantages of the two systems. |
| Sponsorship | IEEE Information Theory Society |
| Starting Page | 1650 |
| Ending Page | 1664 |
| Page Count | 15 |
| File Size | 739726 |
| File Format | |
| ISSN | 00189448 |
| Volume Number | 55 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-04-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wireless sensor networks Directional antennas Mathematical model Performance analysis Military computing Ad hoc networks Information retrieval Energy measurement Time measurement Statistical distributions sensor networks Broadcasting data collection delay directional antenna |
| Content Type | Text |
| Resource Type | Article |
| Subject | Library and Information Sciences Information Systems Computer Science Applications |
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