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Multi-level clustering architecture and protocol designs for wireless sensor networks
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Source ACM International Conference Proceeding Series archive
Proceedings of the 4th Annual International Conference on Wireless Internet table of contents
Maui, Hawaii
SESSION: Wireless sensor networks I table of contents
Article No. 5  
Year of Publication: 2008
ISBN:978-963-9799-36-3
Authors
Barnabas C. Okeke  Ryerson University, Toronto, Canada
K. L. Eddie Law  Ryerson University, Toronto, Canada
Sponsors
: ICST
: Intel
: XIRRUS
Publisher
Bibliometrics
Downloads (6 Weeks): 22,   Downloads (12 Months): 70,   Citation Count: 0
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ABSTRACT

Wireless sensor network (WSN) consists of sensors for measuring and gathering data in a variety of environments. These sensors, with the size and battery constraints, usually have limited transmission ranges due to the low-power wireless radio transceivers. In a sensor network, sensed data should be collected at a centralized location, called sink, for processing and analysis. With limited transmssion distances, sensed data may require multiple relays to reach the sink. In this paper, a novel multi-level clustering (MLC) wireless sensor network design and its associated operating protocol will be presented. Energy optimization is always a critical factor in the designs and deployments of wireless sensor networks. The goal is to create an energy-efficient and effective routing protocol for the networks. Cluster creation in this paper is different from the well-known Low-Energy Adaptive Clustering Hierarchy (LEACH) design. Cluster-heads in our proposed design form a tree with a goal to reach all sensor nodes in a network. Subsequently, all sensed data in the tree can be delivered to the sink while LEACH can not offer this guarantee. Energy savings may be improved with different numbers of levels in the hierarchical clustering architecture. To validate the proposed design, thorough simulations have been carried out. Upon comparing to a multi-hop LEACH protocol, the proposed design offers consistent wider coverage area and longer life span of a wireless sensor network.


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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Collaborative Colleagues:
Barnabas C. Okeke: colleagues
K. L. Eddie Law: colleagues