An Adaptive Clustering-based Resource Discovery Scheme for Large Scale MANETs
Conference Paper
Al-Dhelaan, Abdullah . 2012
نوع عمل المنشور:
Ph.D.
اسم المؤتمر:
The 11th WSEAS International Conference on TELECOMMUNICATIONS and INFORMATICS (TELE-INFO ’12)
عنوان المؤتمر:
Saint Malo, France
تاريخ المؤتمر:
الاثنين, نيسان (أبريل) 16, 2012
مستخلص المنشور:
An increasing number of smart mobile devices offering the ability to perform various types of ubiquitous computation are emerging as large computer networks with an unprecedented scale. Large Scale Mobile Ad Hoc Networks (MANETs) place strong challenges on many aspects of network modeling, deployment, protocols, and resource discovery. Existing policies and techniques in MANETs need to be scaled efficiently as the average deployable network size increases. In this paper, we propose a new resource discovery scheme based on adaptive multi-hop clustering algorithm that divides the large network into several non-overlapping localities. Each cluster has members that are on average d-hops away from their clusterhead. The proposed resource discovery algorithm is a weight-based clusterhead election process that takes into consideration the dynamic topology changes of MANET due to nodes mobility and/or energy depletion. A comparative study is conducted by simulation to demonstrate the superiority of our scheme compared to other proposed techniques in the literature in terms of number of clusters, cluster size, cluster stability and nodes reaffiliation as measures to the algorithm efficiency.