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Spatiotemporal Multicast in Sensor Networks (2003)
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| Venue: | IN SENSYS |
| Citations: | 65 - 7 self |
BibTeX
@INPROCEEDINGS{Huang03spatiotemporalmulticast,
author = {Qingfeng Huang and Chenyang Lu and Gruia-Catalin Roman},
title = {Spatiotemporal Multicast in Sensor Networks},
booktitle = {IN SENSYS},
year = {2003},
pages = {205--217},
publisher = {ACM Press}
}
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Abstract
Sensor networks often involve the monitoring of mobile phenomena, which can be facilitated by a spatiotemporal multicast protocol we call "mobicast". Mobicast is a novel spatiotemporal multicast protocol featuring a delivery zone that evolves over time. Mobicast can in theory provide absolute spatiotemporal delivery guarantees by limiting communication to a mobile forwarding zone whose size is determined by the global worst-case value associated with a compactness metric defined over the geometry of the network.In this work, we first studied the compactness properties of sensor networks with uniform distribution. The results of this study motivate three approaches for improving the e#ciency of spatiotemporal multicast in such networks. First, one may achieve high savings on communication overhead by slightly relaxing spatiotemporal delivery guarantees. Second, spatiotemporal multicast may exploit local compactness values for higher e#ciency for networks with non uniform spatial distribution of compactness. Third, for random uniformly distributed sensor network deployment, one may choose a deployment density to best support spatiotemporal communication. We also explored all these directions via mobicast simulation and results are presented in this paper.
Keyphrases
sensor network spatiotemporal multicast novel spatiotemporal multicast protocol spatiotemporal multicast protocol absolute spatiotemporal delivery guarantee mobicast simulation uniform distribution deployment density mobile phenomenon high saving local compactness value compactness property support spatiotemporal communication delivery zone global worst-case value spatiotemporal delivery guarantee sensor network deployment non uniform spatial distribution
