International Journal of Scientific Research and Engineering Development-– Volume 3 Issue 2, Mar-Apr 2020 Available at www.ijsred.com ISSN : 2581-7175 ©IJSRED:All Rights are Reserved Page 929 Energy Harvesting Clustering Methodology for Lifetime Enhancement of Wireless Sensor Networks Nibedita Priyadarshini Mohapatra*, Rajesh Kumar Patjoshi** *(Department of Computer Science Engineering, National Institute of Science &Technology,Berhampur,India ** (Department of Electronics and Comm. Engg., National Institute of Science &Technology,Berhampur,India Email: rajeshpatjoshi1@gmail.com) ----------------------------------------************************---------------------------------- Abstract: In the modern era, wireless sensor network (WSN) has one of the new horizons among the research community. A WSN provides largest range of network in most of the application fields and it can be deployed anywhere. WSN has low cost, low power sensor nodes, can be deployed in large numbers and also used in hazardous environment. However, the sensor nodes in WSN do not have longer lifetime and always energy budget plays vital role in the context of wireless sensor network. Therefore, this paper focuses on the issues related to network stability and complexity of the network. Moreover, maintenance of fault tolerance ability and minimization of data losses through improved network stability are accomplished in this work. As a result, the field lifetime of sensor nodes should be enhanced to encounter the aforesaid challenges through sensor node. Therefore, the present study proposes the energy harvesting clustering model for increasing lifetime of the network node via application of energy towards the sensor node through energy harvesting concept and clustering technique. The proposed model is validated through MATLAB and a comparative assessment is performed with an existing model. Keywords —Clustering, Degradation, Energy harvesting, Field Lifetime, Wireless Sensor Network (WSN). ----------------------------------------************************---------------------------------- I. INTRODUCTION Energy harvesting in wireless sensor networks (WSN) [1, 2] is one of the essential concerns to be considered, as energy in the sensor node (SN) decreases when it is utilized in wide spectrum applications. Indeed, wireless SN, is being frequently utilized for outdoor applications [3] in almost all fields, ranging from environment monitoring to battlefield scenario and in computing as well as communication platforms. Additionally, WSN sets a new level for monitoring environments and concerned to remote geographical area where human intervention is not possible [4]. Every sensor node in WSNs consists of four basic units namely sensor unit, transceiver unit, processor unit and power unit [5]. Fig.1 shows the different units of a typical sensor node, which is consisting of analog to digital converter (ADC), processor sensor, transceiver and power unit. However, the performance of the sensor unit is to sense the specific environmental conditions such as temperature, pressure level, humidity level and other useful information [6, 7]. This information is converted to digital signal for communication purpose through an ADC. Fig. 1 Different units of a typical sensor node RESEARCH ARTICLE OPEN ACCESS