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Performance Modeling of Cognitive Wireless Sensor Networks Applied to Environmental Protection

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2 Author(s)
Bdira, E. ; Queen''s Univ., Kingston, ON, Canada ; Ibnkahla, M.

This paper presents a methodology, a theoretical framework, and some novel ideas on performance modeling and evaluation of application-specific cognitive wireless sensor networks applied to environmental protection. Cross-layer optimizations integrating the use of adaptive sleep, adaptive modulation and energy-aware higher layer processing and protocols are assumed. Routing and application layer processing are assumed to be dependent on lower-layer protocols, requirements, and constraints. Applications relevant to this study are forest monitoring, where the probability of network failure is the main parameter to be minimized, and endangered-species monitoring, where the probability of node failure is reduced by increasing the expected node life. Results are shown comparing expected node life of a cross-layered design to that of a traditional adaptive modulation system.

Published in:

Global Telecommunications Conference, 2009. GLOBECOM 2009. IEEE

Date of Conference:

Nov. 30 2009-Dec. 4 2009

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