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In recent years, a lot of work has been done in an effort to incorporate Swarm Intelligence (SI) techniques in building an adaptive routing protocol for Mobile Ad Hoc Networks (MANETs). Since centralized approach for routing in MANETs generally lacks in scalability and fault-tolerance, SI techniques provide a natural solution through a distributed approach for the adaptive routing for MANETs. In SI techniques, the captivating features of insects or mammals are correlated with the real world problems to find solutions. Recently, several applications of bio-inspired and nature-inspired algorithms in telecommunications and computer networks have achieved remarkable success. The main aims/objectives of this book, "Mobile Ad Hoc Networks: Bio-Inspired Quality of Service Aware Routing Protocols", are twofold; firstly it clearly distinguishes between principles of traditional routing protocols and SI based routing protocols, while explaining in detail the analogy between MANETs and SI principles. Secondly, it presents the readers with important Quality of Service (QoS) parameters and explains how SI based routing protocols achieves QoS demands of the applications. This book also gives quantitative and qualitative analysis of some of the SI based routing protocols for MANETs.
The current progress in Wireless Sensor Network has taken to various new protocols formed especially for sensor networks in where the energy awareness is a necessary deliberation. Wireless Sensor Network is highly accessible for significant applications namely surveillance of security and environmental monitoring. The researchers all over the world are investigating about the most important parameter of wireless sensor network i.e. Energy. The main emphasis is given over the efficiency of energy as the energy saved by the wireless sensor network is less and the consumption of energy is high and this is the main reason behind the lifetime network depletion at a fast pace. There in the sensor nodes one more challenge is exhibited that is of the limited power capacity, so for the same the battery should be either charged or changed as there are several functions which are to be performed by the energy of the sensor nodes being aggregation, sensing and transmission of data and on board processing. Majorly, the energy is consumed by the wireless data transmission among the nodes and more energy is consumed as compared to the other sensing and processing operations of data. The high energy is consumed because the data is transmitted over a large distance as the nodes are located far from each other. Further, the collision, overhearing and idle listening of the nodes are the major reasons behind the high wastage of energy during the transmission and the communication of data. There are several applications, in which the nodes are disregarded, and thus worsening the failure of nodes and enhancing the problem of high energy consumption. The success of the application is dependent over the network lifetime and the exchange or the recharging of the batteries is costly as well as not feasible. Therefore, the attention of the researchers is seeking towards usage and the consumption of the energy. Further, the development of such energy efficient network should be done which should cover and provide solution for all the above mentioned challenges so that the utility of the wireless sensor networks is enhanced in the applications related to it. The main intention of this study and book is to investigate in detail about the concept “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Significance of the Book: This book convers and discusses about previous studies carried out in the area of data fusion and the crucial issue in energy reduction of the sensor modes during the data fusion. The main objectives of this book a) To analyze the energy aware routing protocol in wireless sensor network; b) To examine the maximum energy consumption for routing process to sustain long life batter power in wireless sensor network.; c) To analyze the routing protocol enhancement by applying data fusion technique; d)To explore the routing protocol enhancement by applying data fusion technique; e)To propose an algorithm to integrate data fusion technique to enhance the consumption of energy. This book study is constrained to wireless sensor networks and limited to data fusion technique. However, this book study evaluates the concept of “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Finally, this book considers a novel network organization scheme, energy-efficient Self organizing Map (K-SOM) Feed forward scheme, to organize sensor nodes into clusters with Data-Fusion. Also, it proposes a Energy aware routing algorithm, called “Artificial Intelligence Based Energy Aware Routing Protocol (AIEARP) for Wireless Sensor Network, for elevating sensor network lifetime. This book also shows the Experimental results for out-performs interims of network lifetime with dead nodes at different iteration and energy conservation with its energy consumption among the cluster heads. The following is an overview of the contents of the chapter, which presented in this Book. Chapter 1: Introduction of the EARP in WSN This chapter provides the vital idea about the research concept “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks” including the research background, problem statement, aims and objectives of the study, research questions, significance of the study and limitations of the research. Chapter 2: Literature Review This chapter examines several works related to the conceptual framework model for “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. In addition to these, this research explains in detail about the energy aware routing protocol in wireless sensor network. Apart from these, this research explains about the maximum energy consumption for routing process to sustain long life batter power in wireless sensor network. At last, this literature review chapter discusses about the routing protocol enhancement by applying data fusion technique and the routing protocol enhancement by applying data fusion technique. In addition to these, this research provides framework for “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Chapter 3: Research design This chapter provides an overview about the intelligent energy aware routing protocol using data fusion technique in wireless sensor networks. This chapter explains about the steps to be followed in the developed method. Chapter 4: Result analysis in term of intelligent energy aware protocol This chapter discusses about the analysis of implementation of proposed framework “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks”. Chapter 5: Conclusion & Future enhancement This chapter explains about the summary of findings obtained through the analysis and results section and also gives conclusion to the research “An Intelligent Energy Aware Routing Protocol using Data Fusion Technique in Wireless Sensor Networks” followed by suggestions and recommendations for the future research. Bibliography: This section lists all works of interest, including those mentioned in the text.
Dr.D.Usha, Assistant Professor, Department of Computer Science, Mother Teresa Womens University, Kodaikanal, Tamil Nadu, India
Bio-inspired techniques are based on principles, or models, of biological systems. In general, natural systems present remarkable capabilities of resilience and adaptability. In this book, we explore how bio-inspired methods can solve different problems linked to computer networks.Future networks are expected to be autonomous, scalable and adaptive. During millions of years of evolution, nature has developed a number of different systems that present these and other characteristics required for the next generation networks. Indeed, a series of bio-inspired methods have been successfully used to solve the most diverse problems linked to computer networks. This book presents some of these techniques from a theoretical and practical point of view. Discusses the key concepts of bio-inspired networking to aid you in finding efficient networking solutions Delivers examples of techniques both in theoretical concepts and practical applications Helps you apply nature's dynamic resource and task management to your computer networks
Wireless sensor networks are being built to facilitate automated information gathering in military, industrial, environmental and surveillance applications. Many such applications of Sensor Networks require desired/pre-fixed QoS (Quality of Service: packetdata delivery within a defined deadline) guarantees and as well as high reliability. These applications demand high packet delivery ratio and are extremely delay sensitive and also demand reliability. However, certain factors limit the ability of the multihop sensor network to achieve the desired goals. These factors include the delay caused by network congestion, or hot regions in the network, limited energy of the sensor networknodes, packet loss due to the collisions and link failure andand mobilitylink failure. In this work, Our paper suggests an energy aware dual-path routing scheme for real timedeadline driven traffic is proposed, which balances node energy utilization, which is energy awareincreases the network lifetime, reducess the routing delay across the network by taking network congestion into account and increases the reliability of the packets reaching the destination by introducing minimal data redundancy. We als This paper also o introduces an adaptive prioritized Medium Access Layer (MAC) specifically to provide a differentiated service model for real time packets. Our intuitive claims areis well supported by simulationby simulation results.
This book gives a comprehensive guide on the fundamental concepts, applications, algorithms, protocols, new trends and challenges, and research results in the area of Green Information and Communications Systems. It is an invaluable resource giving knowledge on the core and specialized issues in the field, making it highly suitable for both the new and experienced researcher in this area. Key Features: Core research topics of green information and communication systems are covered from a network design perspective, giving both theoretical and practical perspectives Provides a unified covering of otherwise disperse selected topics on green computing, information, communication and networking Includes a set of downloadable PowerPoint slides and glossary of terms for each chapter A ‘whose-who’ of international contributors Extensive bibliography for enhancing further knowledge Coverage includes: Smart grid technologies and communications Spectrum management Cognitive and autonomous radio systems Computing and communication architectures Data centres Distributed networking Cloud computing Next generation wireless communication systems 4G access networking Optical core networks Cooperation transmission Security and privacy Core research topics of green information and communication systems are covered from a network design perspective, giving both a theoretical and practical perspective A ‘whose-who’ of international contributors Extensive bibliography for enhancing further knowledge
"This book further explores various issues and proposed solutions for the provision of Quality of Service (QoS) on the wireless networks"--Provided by publisher.
This book includes original, peer-reviewed research articles from International Conference on Advances in Computer Engineering and Communication Systems (ICACECS 2022), held in VNR Vignana Jyoythi Institute of Engineering and Technology (VNR VJIET), Hyderabad, Telangana, India, during August 11–12, 2022. The book focuses on “Smart Innovations in Mezzanine Technologies, Data Analytics, Networks and Communication Systems” enlargements and reviews on the advanced topics in artificial intelligence, machine learning, data mining and big data computing, knowledge engineering, semantic Web, cloud computing, Internet of Things, cybersecurity, communication systems, and distributed computing and smart systems.