Energy Hole Alleviation in Wireless Sensor Networks Through Node Behavior Modeling Using Firefly Algorithm
Wireless sensor network (WSN) refers to a network of sensing devices, commonly referred to as nodes or motes, which senses some physical quantity and sends the measured value to some central computer for subsequent action. Typical examples are fire sensor
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Sunil Dutt Purohit · Dharm Singh Jat · Ramesh Chandra Poonia · Sandeep Kumar · Saroj Hiranwal Editors
Proceedings of International Conference on Communication and Computational Technologies ICCCT-2019
Algorithms for Intelligent Systems Series Editors Jagdish Chand Bansal, Department of Mathematics, South Asian University, New Delhi, Delhi, India Kusum Deep, Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, Uttarakhand, India Atulya K. Nagar, School of Mathematics, Computer Science and Engineering, Liverpool Hope University, Liverpool, UK
This book series publishes research on the analysis and development of algorithms for intelligent systems with their applications to various real world problems. It covers research related to autonomous agents, multi-agent systems, behavioral modeling, reinforcement learning, game theory, mechanism design, machine learning, meta-heuristic search, optimization, planning and scheduling, artificial neural networks, evolutionary computation, swarm intelligence and other algorithms for intelligent systems. The book series includes recent advancements, modification and applications of the artificial neural networks, evolutionary computation, swarm intelligence, artificial immune systems, fuzzy system, autonomous and multi agent systems, machine learning and other intelligent systems related areas. The material will be beneficial for the graduate students, post-graduate students as well as the researchers who want a broader view of advances in algorithms for intelligent systems. The contents will also be useful to the researchers from other fields who have no knowledge of the power of intelligent systems, e.g. the researchers in the field of bioinformatics, biochemists, mechanical and chemical engineers, economists, musicians and medical practitioners. The series publishes monographs, edited volumes, advanced textbooks and selected proceedings.
More information about this series at http://www.springer.com/series/16171
Sunil Dutt Purohit Dharm Singh Jat Ramesh Chandra Poonia Sandeep Kumar Saroj Hiranwal •
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Editors
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Editors Sunil Dutt Purohit Rajasthan Technical University Kota, Rajasthan, India Ramesh Chandra Poonia Department of ICT and Natural Sciences Norwegian University of Science and Technology Alesund, Norway
Dharm Singh Jat Department of Computer Science University of Science and Technology, Namibia Windhoek, Namibia Sandeep Kumar Department of Computer Science Amity University Jaipur, Rajasthan, India
Saroj Hiranwal Rajasthan Institute of Engineering and Technology Jaipur, Rajasthan, India
ISSN 2524-7565 ISSN 2524-7573 (electronic) Algorithms for Intelligent Systems ISBN 978-981-15-5076-8 ISBN 978-981-15-5077-5 (eBook) https://doi.org/10.1007/978-981-15-5077-5 © Springer Nature Singapore Pte Ltd. 2021 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifi
