Proceedings of the 10 th INDIACom; INDIACom-2016 3 rd 2016 International Conference on “Computing for Sustainable Global Development”, 16 th – 18 th March, 2016 Bharati Vidyapeeth’s Institute of Computer Applications and Management (BVICAM), New Delhi (INDIA) Clustering using Fuzzy Logic in Wireless sensor Networks Manjeet Singh E&CED, NIT Hamirpur Himachal Pradesh, India Emaid Id:erg.manjeet@gmail.com Gaurav E&CED, NIT Hamirpur Himachal Pradesh, India Emaid Id:ergaurav209@yahoo.co.in Surender Soni E&CED, NIT Hamirpur Himachal Pradesh, India Emaid Id:surender.soni@gmail.com Vicky Kumar E&CED, NIT Hamirpur Himachal Pradesh, India Emaid Id:Vicky.kumar334@gmail.com Abstract – Efficient use of energy resources is the one of most challenging research issue in wireless sensor networks, because the battery limits the lifetime of the sensor nodes. To enhance the energy efficiency the clustering hierarchical architecture is most favorable approach. In clustering, the network is divided into sections known as clusters and each cluster selects a leader among the cluster members according to set of rules define by user. Only the leader is allow to communicate with base station. LEACH is the first dynamic and self-organized clustering in wireless sensor networks. It use probabilistic model for cluster head election. After LEACH many techniques has been proposed and inspired from LEACH. These techniques has defects such as large overhead generation and uncertainty in selecting cluster heads. In order to reduce these demerits fuzzy logic based clustering techniques proposed such as CHEF (cluster head election mechanism using fuzzy logic). Fuzzy logic based techniques generate lower overhead and fuzzy logic reduces uncertainties in cluster head selection. In this paper we introduce new clustering technique using fuzzy logic. We use fuzzy logic to calculate the value of timer, which is responsible for forming clusters in the network. We performed simulation in MATLAB and results are compared with LEACH and CHEF clustering techniques. Simulation results shows that the proposed clustering technique is more energy efficient than the LEACH and CHEF in term of network lifetime. Keywords – CHEF, Fuzzy Logic, Localized Clustering, Fuzzy Clustering, Wireless Sensor Networks. I. INTRODUCTION Wireless sensor networks (WSNs) composed of huge number of sensors placed in the area of interest to sense the physical phenomenon such as temperature, humidity and pressure etc. The sensor nodes are resource constraint and fragile devices, which are prone to failure. These kind of networks generally deployed to monitor the area of interest for months or may be for years. Sensor nodes have limited power supply or energy source due to its low cost, small size and limited computation capability. Sensors are disposable kind of devices, once deployed not possible to replace or recharge its battery. Thus nodes works in cooperative manner to increase network lifetime and information integrity. Many researcher has been proposed number of network layer and MAC layer protocols to extend the network lifetime. In WSNs efficient power utilization is the most important objective and to achieve this objective clustering is one of the most important technique and many researchers proves that clustering is the efficient way to distribute load among the sensor nodes and to improve overall network lifetime. In [1] shown that clustering hierarchical architecture is more efficient than the distributed and flat architecture. Clustering can be static or dynamic in nature, in WSNs the dynamic clustering is preferred, because WSNs are generally event driven networks. LEACH is the first protocol proposed to divide whole wireless sensor network into the clusters in self organized manner. LEACH is distributed and dynamic in nature, although the various advantages (such as simplicity of algorithm, localized clustering and dynamic cluster formation) there are some defects in this technique. Notable WSNs clustering approaches proposed in literature are influenced from LEACH, which considered the defects of LEACH and shown enhancement in throughput and in network lifetime of the network. In [4] proposed ACE (an emergent algorithm for highly uniform cluster formation), which is different from the LEACH protocol. In ACE the concept of cluster migration is used to distribute the clusters uniformly. In these proposed techniques the large overhead generation and uncertainty in decision taking regarding cluster head selection are always research challenges. To keep in mind theses research challenges Gupta et al. [5] proposed fuzzy logic based centralized clustering technique to reduce the defects of the 1669 978-9-3805-4421-2/16/$31.00 c 2016 IEEE