Network Devolution and the Growth of Sensory Lacunae in Sensor Networks
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Kunniyur, Srisankar S
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Battery lifetimes in wireless sensor networks are dictated by usage patterns and the elected transmission power. As batteries fail there is an inevitable devolution of the network characterized by the growth of sensory lacunae or dead spots in the sensor field and eventually a breakdown in connectivity between the surviving nodes of the network. Sharp limit theorems characterizing the time at which these phenomena make their appearance are derived. These results provide explicit fundamental tradeoffs between transmission power, node density, and battery design and suggest how efficient choices may be made.
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2004-03-24
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2023-05-16T22:31:12.000
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Presented at WiOpt 2004: Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks, held 24-26 March 2004 at the University of Cambridge, UK.
Copyright 2004 IEEE. Reprinted from Proceedings of the 4th IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks 2004 (WiOpt 2004). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Copyright 2004 IEEE. Reprinted from Proceedings of the 4th IEEE International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks 2004 (WiOpt 2004). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Pennsylvania's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.