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The Anchor Location Service (ALS) protocol for large-scale wireless sensor networks
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Source ACM International Conference Proceeding Series; Vol. 138 archive
Proceedings of the first international conference on Integrated internet ad hoc and sensor networks table of contents
Nice, France
SESSION: Routing table of contents
Article No. 18  
Year of Publication: 2006
ISBN:1-59593-427-8
Authors
Rui Zhang  University of South Florida, Tampa, Florida
Hang Zhao  College of William and Mary, Williamsburg, VA
Miguel A. Labrador  University of South Florida, Tampa, Florida
Sponsors
: EU (IST-FET)
: Create-Net
: ICST
Publisher
ACM  New York, NY, USA
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ABSTRACT

Location-based routing (LBR) is one of the most widely used routing strategies in large-scale wireless sensor networks. With LBR, small, cheap and resource-constrained nodes can perform the routing function without the need of complex computations and large amounts of memory space. Further, nodes do not need to send energy consuming periodic advertisements because routing tables, in the traditional sense, are not needed. One important assumption made by most LBR protocols is the availability of a location service or mechanism to find other nodes' positions. Although several mechanisms exist, most of them rely on some sort of flooding procedure unsuitable for large-scale wireless sensor networks, especially with multiple and moving sinks and sources. In this paper, we introduce the Anchor Location Service (ALS) protocol, a grid-based protocol that provides sink location information in a scalable and efficient manner and therefore supports location-based routing in large-scale wireless sensor networks. The location service is evaluated mathematically and by simulations and also compared with a well-known grid-based routing protocol. Our results demonstrate that ALS not only provides an efficient and scalable location service but also reduces the message overhead and the state complexity in scenarios with multiple and moving sinks and sources, which are not usually included in the literature.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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D. Li, K. Wong, Y. Hu, and A. Sayeed. Detection, Classification and Tracking of Targets in Distributed Sensor Networks. IEEE Signal Processing Magazine, 19, No. 2:17--29, 2002.
 
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H. Luo, F. Ye, J. Cheng, S. Lu, and L. Zhang. TTDD: A Two-tier Data Dissemination Model for Large-Scale Wireless Sensor Networks. In Proc. of the First ACM Int'l Workshop on Wireless Sensor Networks and Applications, 2003.
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F. Ye. TTDD Simulation (Unpublished Work). February 26th 2002.
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Collaborative Colleagues:
Rui Zhang: colleagues
Hang Zhao: colleagues
Miguel A. Labrador: colleagues