TY - GEN
T1 - RIPPLE
T2 - 18th International Conference on Parallel and Distributed Computing Systems, PDCS 2005
AU - Song, Min
AU - Milne, Dean
AU - Wilson, Larry
N1 - Publisher Copyright:
© 2005 18th ISCA International Conference on Parallel and Distributed Computing Systems 2005, PDCS 2005. All rights reserved.
PY - 2005
Y1 - 2005
N2 - The applications for wireless sensor networks demand that sensors be small, inexpensive, easily deployable, adaptive to their environments, autonomous, and self-organizing. However, the limitations imposed by a non-rechargeable power supply make energy conservation one of the overriding concerns and design parameters in developing wireless sensor network protocols. In this paper we present an energy conservation algorithm named Recursively Implemented Protocol for Power Limited Entities (RIPPLE). It is shown that RIPPLE is able to exploit the inherent sensor redundancy in densely deployed sensor networks to maximize network life while maintaining a high level of sensor coverage across the sensor field. Simulations are performed to demonstrate the effectiveness of this intelligent algorithm over its peer that relies exclusively on randomization to ensure desirable coverage.
AB - The applications for wireless sensor networks demand that sensors be small, inexpensive, easily deployable, adaptive to their environments, autonomous, and self-organizing. However, the limitations imposed by a non-rechargeable power supply make energy conservation one of the overriding concerns and design parameters in developing wireless sensor network protocols. In this paper we present an energy conservation algorithm named Recursively Implemented Protocol for Power Limited Entities (RIPPLE). It is shown that RIPPLE is able to exploit the inherent sensor redundancy in densely deployed sensor networks to maximize network life while maintaining a high level of sensor coverage across the sensor field. Simulations are performed to demonstrate the effectiveness of this intelligent algorithm over its peer that relies exclusively on randomization to ensure desirable coverage.
KW - algorithm
KW - energy conservation
KW - wireless sensor networks
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M3 - Conference contribution
AN - SCOPUS:84883289705
T3 - 18th ISCA International Conference on Parallel and Distributed Computing Systems 2005, PDCS 2005
SP - 258
EP - 263
BT - 18th ISCA International Conference on Parallel and Distributed Computing Systems 2005, PDCS 2005
Y2 - 12 September 2005 through 14 September 2005
ER -