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Abstract
A wireless sensor network is one of the networks that is highly demanding by various real-time networking applications nowadays. A huge amount of sensor nodes is deployed in the network randomly and distributed. Most of the applications using wireless sensor network (WSN) are surveillance monitoring applications like a forest, home, healthcare, environment, and remote monitoring systems. Based on the application usage, the type of sensor, a number of sensor nodes are deployed in such a manner where the sensors can be used effectively. But the sensor nodes are restricted in the battery and sensing region. Thus, the battery of the sensor nodes is decreased based on the nodes’ function. The energy level of the sensor nodes highly affects the network lifetime. Improving the energy efficiency in WSN is one of the most important challenging tasks. Most of the earlier research works have proposed various methods, techniques, and routing protocols, but they are application dependent and as a common method. So, this paper is motivated to propose a Multi-Conditional Network Analysis (MCNA) framework for saving the energy level of the sensor nodes by reducing energy consumption. The MCNA framework involves two different clustering processes with cluster head selection, choosing the best nodes based on the signal strength, and the best route for data transmission. The data transmission is done by cluster based on source-destination based. The simulation results proved that the proposed MCNA framework outperforms the other existing methods.
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No potential conflict of interest was reported by the author(s).
Additional information
Notes on contributors
Raviteja Kocherla
Mr Raviteja Kocherla is a research scholar at Presidency University, Bangalore, in the area of Wireless Sensor Networks. He received his B.Tech. in Information Technology and M.Tech in Computer Science and Engineering from JNTU Hyderabad. Presently he is working as Assistant Professor in the department of CSE at Shri Vishnu Engineering College for Women, Andhra Pradesh. He is having a good number of publications in reputed journals and conference proceedings.
M. Chandra Sekhar
Dr M. Chandra Sekhar received his M.Tech., in Computer Science from Acharya Nagarjuna Univeristy and Ph.D., from Sri Krishnadevaraya University. He has 19 years of experience in both Teaching and Software Industry. He works as Associate Professor in the Department of CSE at Presidency University, Bangalore, India. He also worked as a Team leader in Accenture India Pvt. Ltd., with German Client in SAP BI platform and worked as Sa ystem Analyst in IBM Pvt, India Ltd in the SAP BW platform. He is having a good number of publications in reputed journals and conference proceedings. His research interests include Cryptography and Network Security, Mobile Ad-Hoc, and Sensor Networks.
Ramesh Vatambeti
Dr Ramesh. Vatambeti received his B.Tech from Sri Venkateswara University, Tirupati, in Computer Science and Engineering and M.Tech in IT and PhD in CSE from Sathyabama University, Chennai. He has around 16 years of teaching experience from reputed Engineering Institutions. He works as Associate Professor in the Department of Computer Science and Engineering at CHRIST (Deemed to be University), Bangalore, India. He has published 3 books, 3 book chapters and more than 60 papers in refereed journals and conference proceedings. He is acting as Editorial Board Member for ix International refereed journals. He is the reviewer for several refereed international journals and acted as Session Chair and technical committee member for several international conferences held in India and abroad. He is guiding six scholars for the award of Ph.D. and supervised more than 20 M.Tech and B.Tech projects. He received seven awards from National and International organisations for teaching and research contributions. His research interests include Computer Networks, Mobile Ad-Hoc and Sensor Networks and Internet of Things.