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A New Combined Optimization Model for Wireless Sensor Networks

Alijani A, Ivaz B, Mahjoub S

Image Processing & Communications

2012

Vol. 17, no. 1-2

61--66

In this paper we proposed a multiobjective optimization model for wireless sensor networks (WSNs). The proposed model optimized several objectives, simultaneously. Indeed, by starting from a generic configuration we found new location for sensors, that the network have appropriate performance in terms of energy consumption and travelled distance. For the monotony of energy consumption and life time of sensors, the rate of energy consumption in each stage have been associated the previous stage. Through a series of calculations the behavior of the proposed model has been compared with other one-objective models.

Global Optimization with the use optimal covering

Woźniak A.

Prace Naukowe Politechniki Warszawskiej. Elektronika

2007

z. 160

309-316

The paper describes global optimization algorithm based on Stratified Covering. Stratified means the feasible set is divided into M disjoint subsets of equal volume, and in each subset N sampling points are uniformly generated. Covering concerns method of uniform generation of points and means that sampling grid is the set of centers of N balls, which cover in the finest manner the subset. An abridget description of optimal stratified sampling and optimal covering algorithms containing only the essential of the methods is presented. for the purpose of illustrating both the actual working and the potentialities of the method, a set of computational results is presented.