TY - GEN
T1 - Poster abstract
T2 - 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
AU - Challen, Geoffrey Werner
AU - Waterman, Jason
AU - Welsh, Matt
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2009
Y1 - 2009
N2 - Energy in sensor networks is distributed and non-transferable. Over time, differences in energy availability across the network are likely to arise. Protocols such as routing engines can concentrate energy load at certain nodes. Variations in incident sunlight can produce different solar charging rates at different nodes. Because many sensor network applications require nodes collaborate - - to ensure complete sensor coverage or route data to the network's edge - - a small set of nodes threatened by low energy availability can have a disproportionate impact on the entire network. For example, the loss of a single sink node may render the application unable to communicate with all the other nodes. However, network density provides redundancy that can be exploited to control the distribution of energy load. Multiple possible routing paths may link a node and the sink, or several sinks may exist. Adjusting MAC-level parameters may allow a node to conserve energy by forcing additional load on its neighbors. Inputs from multiple sensors may prove redundant to the application, allowing some sensors to be disabled or operated at reduced fidelity, saving power at those nodes. These choices imply that energy load can be tuned to match availability, and this tuning can extend the useful lifetime of the network. Effective distributed energy management requires network-wide awareness of energy availability and load integrated with algorithms guiding protocols toward states producing longer lifetimes or higher node duty-cycles. Intelligent Distributed Energy Awareness (IDEA) is a sensor network service that can be used by both protocols and applications. Given the current energy availability and a set of protocol states, each with different implications for network-wide energy consumption, IDEA projects future energy availability in order to make the best choice. By simplifying decisions impacting distributed energy availability, it facilitates the implementation of energy-aware services.
AB - Energy in sensor networks is distributed and non-transferable. Over time, differences in energy availability across the network are likely to arise. Protocols such as routing engines can concentrate energy load at certain nodes. Variations in incident sunlight can produce different solar charging rates at different nodes. Because many sensor network applications require nodes collaborate - - to ensure complete sensor coverage or route data to the network's edge - - a small set of nodes threatened by low energy availability can have a disproportionate impact on the entire network. For example, the loss of a single sink node may render the application unable to communicate with all the other nodes. However, network density provides redundancy that can be exploited to control the distribution of energy load. Multiple possible routing paths may link a node and the sink, or several sinks may exist. Adjusting MAC-level parameters may allow a node to conserve energy by forcing additional load on its neighbors. Inputs from multiple sensors may prove redundant to the application, allowing some sensors to be disabled or operated at reduced fidelity, saving power at those nodes. These choices imply that energy load can be tuned to match availability, and this tuning can extend the useful lifetime of the network. Effective distributed energy management requires network-wide awareness of energy availability and load integrated with algorithms guiding protocols toward states producing longer lifetimes or higher node duty-cycles. Intelligent Distributed Energy Awareness (IDEA) is a sensor network service that can be used by both protocols and applications. Given the current energy availability and a set of protocol states, each with different implications for network-wide energy consumption, IDEA projects future energy availability in order to make the best choice. By simplifying decisions impacting distributed energy availability, it facilitates the implementation of energy-aware services.
KW - Optimization
KW - Resource distribution
KW - Resource management
KW - Wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=74549155185&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=74549155185&partnerID=8YFLogxK
U2 - 10.1145/1644038.1644112
DO - 10.1145/1644038.1644112
M3 - Conference contribution
AN - SCOPUS:74549155185
SN - 9781605587486
T3 - Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
SP - 381
EP - 382
BT - Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys 2009
Y2 - 4 November 2009 through 6 November 2009
ER -