A hybrid optimisation algorithm for coverage enhancement in 3D directional sensor networks Online publication date: Thu, 07-Nov-2013
by Li Yupeng; Ji Peng; Ren Weidong
International Journal of Sensor Networks (IJSNET), Vol. 14, No. 3, 2013
Abstract: 3D model-based coverage of directional sensor networks (DSNs) is one of the emerging research topics in recent decades. To further remedy the deficiency of the 2D directional sensing model that cannot accurately characterise the actual DSNs, a 3D directional sensing model is established in this paper, and the key parameters are calculated precisely that may be utilised in any algorithms. Moreover, motivated by the existing coverage-enhancing algorithm of WSNs, hybrid optimisation algorithm for area coverage enhancement (HOA-ACE) is also proposed that is an improvement of particle swarm optimisation (PSO) and conjugate gradient algorithm (CGA). In the proposed hybrid optimisation algorithm (HOA), we not only focus on the global searching, but also trying to reduce possibility of falling into the local optimum. Finally, simulation results are performed to demonstrate the effectiveness of the proposed algorithm. Besides, another simulation experiment results show the effect of some aspects based on our proposed model.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Sensor Networks (IJSNET):
Login with your Inderscience username and 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
Our Blog 
Follow us on Twitter 
Visit us on Facebook