Title
Investigating the Tradeoffs between Spatial Granularity and Energy Requirements in Wireless Sensor Networks.
Abstract
In some wireless sensor network applications like precision agriculture, the network area is divided into a number of well-defined regions (spatial granules) and for each spatial granule a separate measurement is made. In performing the task of collecting the data pertaining to these measurements, there is an inherent tradeoff between number of spatial granules and minimum energy requirements of sensor nodes deployed in the area. In this paper, through a linear programming (LP) framework, we investigate the impact of spatial granularity of measurements on the energy requirements of sensor network. Once redundancy is defined in this context as the duplication of data collected for each granule, our LP model also allows us to determine almost achievable performance benchmarks in idealized yet practical settings which are achievable when redundancy is totally eliminated.
Year
DOI
Venue
2010
10.1109/EMS.2010.75
Computer Modeling and Simulation
Keywords
Field
DocType
spatial granularity,achievable performance benchmarks,energy requirement,lp model,sensor network,minimum energy requirement,wireless sensor network application,energy requirements,spatial granule,wireless sensor networks,sensor node,network area,linear programming,linear program,wireless sensor network,redundancy,sensors,precision agriculture,agriculture,base stations,data collection
Base station,Key distribution in wireless sensor networks,Computer science,Real-time computing,Precision agriculture,Redundancy (engineering),Linear programming,Granularity,Wireless sensor network
Conference
ISBN
Citations 
PageRank 
978-0-7695-4308-6
1
0.34
References 
Authors
9
3
Name
Order
Citations
PageRank
Davut Incebacak1184.50
Kemal Bicakci237030.04
B. Tavli339632.13