Title :
Adaptive Clustering Protocol for Wireless Networks
Author :
Durresi, Arjan ; Paruchuri, Vamsi ; Barolli, Leonard
Author_Institution :
Dept. of Comput. & Inf. Sci., Indiana Univ. Purdue Univ. Indianapolis, Indianapolis, IN, USA
Abstract :
We present a new protocol to cluster nodes of wireless networks. Our protocol ensures reliable message transmission in spite of collisions and transmission losses. We first present a geometric-probabilistic model to predict the optimal range for maximizing one-hop broadcast coverage in wireless networks as a function of range, sending rate and density. We use the above model to design a scalable clustering protocol, which functionality is independent of network topology. Then, we incorporate our analytical model to this protocol to adapts to network conditions. Through extensive analytical and experimental results, we show multifold advantages of adapting the protocol to network conditions.
Keywords :
protocols; radio networks; telecommunication network reliability; telecommunication network topology; adaptive clustering protocol; message transmission reliability; network topology; one-hop broadcast coverage; wireless networks; Analytical models; Broadcasting; Clustering algorithms; Interference; Predictive models; Solid modeling; Telecommunication network reliability; USA Councils; Wireless application protocol; Wireless networks;
Conference_Titel :
Advanced Information Networking and Applications (AINA), 2010 24th IEEE International Conference on
Conference_Location :
Perth, WA
Print_ISBN :
978-1-4244-6695-5
DOI :
10.1109/AINA.2010.145