A novel genetic algorithm with 2D CDF 9/7 lifting discrete wavelet transform for total target coverage in WSNs deployment
by T. Ganesan; Pothuraju Rajarajeswari
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 26, No. 4, 2021

Abstract: In recent days, environmental monitoring has been achieved by wireless sensor networks. The node placement problem is playing a significant role in positioning and infrastructure for gathering information from engineering and environment fields. When the number of sensors is limited to cover the maximum area or total target coverage (TTC) imposes a real challenge in sensor placement in a different field because of complicated weather condition, the quality of maximum coverage is achieved by deploying sensors in an optimum position such that it covers the entire field. In this paper, a novel genetic algorithm with a 2D lifting-based discrete wavelet transform is proposed for finding the optimal location for each sensor with connectivity. The enhanced genetic algorithm generates the population matrix to identify each sensor position whereas, the quality of maximum coverage or monitoring and connectivity of every sensor is achieved by a 2D lifting scheme based on bi-orthogonal Cohen-Daubechies-Feauveau CDF 9/7 wavelet transform for adjusting sensor position optimally. The theoretical analysis and mathematical model have been carried out to the simulation results and are compared with the existing algorithm in terms of maximum coverage, connectivity, the total number of sensors and optimal position.

Online publication date: Thu, 10-Jun-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com