ISBN: 978-981-11-0008-6 DOI: 10.18178/wcse.2016.06.089
Balanced Unequal Clustering Algorithm under Noisy_Environment
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.
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.