On maximizing the lifetime of Wireless Sensor Networks by optimally assigning energy supplies

The extension of the network lifetime of Wireless Sensor Networks (WSN) is an important issue that has not been appropriately solved yet. This paper addresses this concern and proposes some techniques to plan an arbitrary WSN. To this end, we suggest a hierarchical network architecture, similar to r...

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Bibliographic Details
Published in:Sensors (Basel, Switzerland) Switzerland), 2013-08, Vol.13 (8), p.10219-10244
Main Authors: Asorey-Cacheda, Rafael, García-Sánchez, Antonio Javier, García-Sánchez, Felipe, García-Haro, Joan, González-Castano, Francisco Javier
Format: Article
Language:English
Subjects:
Algorithms
Alternative energy sources
Chemical elements
Computer Communication Networks - instrumentation
Computer simulation
Computer-Aided Design
Electric Power Supplies
Energy resources
energy supply assignment
Energy Transfer
Equipment Design
Equipment Failure Analysis
lifetime optimization
Linear programming
Optimization
Planning
Radio communications
Renewable resources
Sensors
Supplies
Transducers
wireless sensor networks
Wireless Technology - instrumentation
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Summary:The extension of the network lifetime of Wireless Sensor Networks (WSN) is an important issue that has not been appropriately solved yet. This paper addresses this concern and proposes some techniques to plan an arbitrary WSN. To this end, we suggest a hierarchical network architecture, similar to realistic scenarios, where nodes with renewable energy sources (denoted as primary nodes) carry out most message delivery tasks, and nodes equipped with conventional chemical batteries (denoted as secondary nodes) are those with less communication demands. The key design issue of this network architecture is the development of a new optimization framework to calculate the optimal assignment of renewable energy supplies (primary node assignment) to maximize network lifetime, obtaining the minimum number of energy supplies and their node assignment. We also conduct a second optimization step to additionally minimize the number of packet hops between the source and the sink. In this work, we present an algorithm that approaches the results of the optimization framework, but with much faster execution speed, which is a good alternative for large-scale WSN networks. Finally, the network model, the optimization process and the designed algorithm are further evaluated and validated by means of computer simulation under realistic conditions. The results obtained are discussed comparatively.
ISSN:1424-8220
1424-8220
DOI:10.3390/s130810219