An optimal network dimensioning and initial energy assignment minimizing the monetary cost of a heterogeneous WSN
Date
2009Source Title
2009 6th International Symposium on Wireless Communication Systems
Publisher
IEEE
Pages
517 - 521
Language
English
Type
Conference PaperItem Usage Stats
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Abstract
In this paper, a novel method is proposed to dimension a randomly deployed heterogeneous Wireless Sensor Network (WSN) of minimum monetary cost satisfying minimum coverage and minimum lifetime requirements. We consider WSNs consisting of two different types of nodes clusterheads and ordinary sensor nodes, randomly deployed over a sensing field. All devices are assumed to be stationary and have identical sensing capabilities. However, the clusterheads are more energetic and powerful in terms of processing and communication capabilities compared to sensor nodes. For such a network, finding minimum cost WSN problem is not a trivial one, since the distribution of the mixture of two different types of devices and the batteries with different initial energies in each type of device primarily determine the monetary cost of a WSN. Therefore, we formulated an optimization problem to minimize the monetary cost of a WSN for given coverage and lifetime requirements. The proposed optimization problem is solved for a certain scenario and the solution is validated by computer simulations. © 2009 IEEE.
Keywords
Cluster-headsCommunication capabilities
Heterogeneous wireless sensor networks
Initial energy
Minimum cost
Minimum coverage
Monetary costs
Novel methods
Optimal networks
Optimization problems
Sensing fields
Cellular telephone systems
Communication systems
Computer simulation
Global system for mobile communications
Mobile computing
Optimization
Sensor nodes
Sensors
Telecommunication equipment
Wireless sensor networks
Wireless telecommunication systems
Costs