Application-Driven Node Management in Multihop Wireless Sensor Networks

A strategy for energy saving in wireless sensor networks is to manage the duty cycle of sensors, by dynamically selecting a different set of nodes to be active in every moment. We propose a strategy for node selection in multihop sensor networks that prioritizes nodes with larger residual energy and...

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Bibliographic Details
Published inLecture notes in computer science pp. 569 - 576
Main Authors Delicato, Flávia, Protti, Fabio, de Rezende, José Ferreira, Rust, Luiz, Pirmez, Luci
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Computer science; control theory; systems
Computer systems and distributed systems. User interface
Exact sciences and technology
Mean Square Error
Network Lifetime
Sensor Node
Sink Node
Software
Wireless Sensor Network
Packet switching
Surveillance
Measurement sensor
Wireless network
Scheduling
Distributed system
Combinatorial optimization
Sensor array
Service quality
Energy savings
Monitoring
Knapsack problem
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Summary:A strategy for energy saving in wireless sensor networks is to manage the duty cycle of sensors, by dynamically selecting a different set of nodes to be active in every moment. We propose a strategy for node selection in multihop sensor networks that prioritizes nodes with larger residual energy and relevance for the application. The proposed scheme is based on an implementation of the knapsack algorithm and it seeks to maximize the network lifetime, while assuring the application QoS. An environmental monitoring application was simulated and huge energy savings were achieved with the proposed scheduling algorithm.
ISBN:3540253394
9783540253396
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-540-31956-6_67