WCSE 2016
ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.089

Balanced Unequal Clustering Algorithm under Noisy_Environment

Ravendra Singh

Abstract— The transmission link failures are common in wireless sensor network because the sensor nodes are deployed in hostile environment, so it is necessary to maintain dynamic topology to monitor the link quality, which leads to reduce the network lifetime due to increase in communication overheads. Hence energy efficient BUCAN (Balanced Unequal Clustering Algorithm under Noisy environment) has been proposed here to extend the network lifetime of WSNs. The stable and energy efficient approach is proposed here to form unequal clusters using BinInv method to solve the hotspot region problem, thereafter selects the optimal cluster head (CH) to prolong the network lifetime, which utilizes fuzzy logic for handling uncertainties in CH radius estimation, taking into account the factors such as the remaining energy, surrounding noise and the localization of nodes. At last, an efficient hierarchal routing scheme has been proposed to deliver the dynamically compressed data to base station which estimates the link quality by considering signal strength of the multi hope route. The simulated result demonstrates that our proposed algorithm has significant effectiveness in terms of balancing energy consumption as well as maximizing the network lifetime under the same routing criteria better than other traditional algorithms.

Index Terms— balanced energy, unequal clustering, noisy environment, wireless sensor network.

Ravendra Singh
Dept. of CS & IT, MJP Rohilkhand University, INDIA


Cite: Ravendra Singh, "Balanced Unequal Clustering Algorithm under Noisy_Environment," Proceedings of 2016 6th International Workshop on Computer Science and Engineering, pp. 529-535, Tokyo, 17-19 June, 2016.