Download or read book Performance Evaluation of Clustering Algorithms in Wireless Sensor Networks WSN Energy Efficiency of S Web and LEACH written by Sahil Sholla and published by GRIN Verlag. This book was released on 2015-03-27 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master's Thesis from the year 2013 in the subject Computer Science - Miscellaneous, grade: -, , course: Master of Technology, language: English, abstract: Wireless Sensor Networks (WSNs) are highly integrated technologies applying sensors, microcontrollers and wireless networks technologies. Wireless sensor networks (WSNs) is a promising technology that has a large spectrum of applications such as, battlefield reconnaissance, border protection and security surveillance, preparing forecasts, severe environment detection, volcano monitoring, disaster management. WSNs operate unattended in harsh environments with limited energy supplies that can’t be practically changed or recharged. Thus energy efficiency is a critical design issue which must be addressed. Clustering plays an effective role in judicious use of dwindling energy resources of the deployed sensor nodes. Nodes are grouped into clusters and a specific designated node, called the cluster head is responsible for collecting data from the nodes in its cluster, aggregating them and sending to the BS, where data can be retrieved later. Besides energy efficiency, clustering has many other advantages like reduced routing overhead, conservation of communication bandwidth, stabilized network topology, network stability etc In this research, we study the energy efficiency of two clustering algorithms, S-Web and LEACH and compare them for network lifetime. Simulation results show that the S-Web clustering mechanism achieves a noticeable improvement in the network lifetime.

Download or read book Mobile Wireless and Sensor Networks written by Amine Dahane and published by CRC Press. This book was released on 2019-07-01 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless networking covers a variety of topics involving many challenges. The main concern of clustering approaches for mobile wireless sensor networks (WSNs) is to prolong the battery life of the individual sensors and the network lifetime. For a successful clustering approach, the need of a powerful mechanism to safely elect a cluster head remains a challenging task in many research works that take into account the mobility of the network. In Mobile, Wireless and Sensor Networks: A Clustering Algorithm for Energy Efficiency and Safety, the authors use an approach based on computing of the weight of each node in the network as the proposed technique to deal with this problem. They present a virtual laboratory platform (VLP) of baptized mercury, allowing students and researchers to make practical work (PW) on different aspects of mobile wireless sensor networks. The authors’ choice of WSNs is motivated mainly by the use of real experiments needed in most college courses on WSNs. These usual experiments, however, require an expensive investment and many nodes in the classroom. The platform presented here aims at showing the feasibility, the flexibility, and the reduced cost using the authors’ approach. The authors demonstrate the performance of the proposed algorithms that contribute to the familiarization of the learners in the field of WSNs. The book will be a valuable resource for students in networking studies as well as for faculty and researchers in this area.

Download or read book Clustering and Routing Algorithms for Wireless Sensor Networks written by Pratyay Kuila and published by CRC Press. This book was released on 2017-09-22 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint is the limited and irreplaceable power source of the sensor nodes. In many applications, energy conservation of the sensor nodes and their replacement or replenishment due to the hostile nature of the environment is the most challenging issue. Energy efficient clustering and routing are the two main important topics studied extensively for this purpose. This book focuses on the energy efficient clustering and routing with a great emphasis on the evolutionary approaches. It provides a comprehensive and systematic introduction of the fundamentals of WSNs, major issues and effective solutions.

Download or read book Evaluation of Clustering Parameters in WSN Fields Using Distributed Zone Based Approach written by B. Prabhu and published by . This book was released on 2015 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: Wireless sensor network (WSN) is a low-powered network formed by the sensor nodes that finds application in civilian, military, visual sense models, and many others. Improved network lifetime is an important task to be achieved by these sensor networks. In this paper, a methodology for evaluation of clustering efficiency, routing efficiency, energy efficiency, and the lifetime of two dense wireless sensor network fields?using a distributed clustering approach, the hybrid energy efficient clustering algorithm (HEECA)?was proposed, which mainly targeted effectively prolonging the lifetime of wireless sensor networks. It is a well-distributed and energy-efficient clustering algorithm that employs three novel techniques: zone based transmission power (ZBTP), routing using distributed relay nodes (DRNs), and rapid cluster formation (RCF). The proposed scheme was compared with two well-evaluated existing distributed clustering algorithms, O-LEACH and HEED. Simulation results clearly showed an excellent improvement in remaining energy, throughput, routing efficiency, and energy efficiency of the entire wireless sensor system. The clustering process was effectively controlled, thereby the number of cluster heads selection and the number of packets delivered to the base station was also found to be effective. Ultimately, the overall lifetime of the wireless sensor network was improved when compared to the two existing distributed clustering algorithms.

Download or read book Clustering and Routing Protocols for Wireless Sensor Networks written by Riham Elhabyan and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we propose a suite of Evolutionary Algorithms (EA)-based protocols to solve the problems of clustering and routing in Wireless Sensor Networks (WSNs). At the beginning, the problem of the Cluster Heads (CHs) selection in WSNs is formulated as a single-objective optimization problem. A centralized weighted-sum multi-objective optimization protocol is proposed to find the optimal set of CHs. The proposed protocol finds a predetermined number of CHs in such way that they form one-hop clusters. The goal of the proposed protocol is to enhance the network's energy efficiency, data delivery reliability and the protocol's scalability. The formulated problem has been solved using three evolutionary approaches: Genetic Algorithms (GA), Differential Evolution (DE) and Particle Swarm Optimization (PSO) and we assessed each of their performance. Then, a PSO-based hierarchical clustering protocol that forms two-hop clusters is proposed to investigate the effect of the number of CHs on network's energy efficiency. This protocol enhances the WSN's energy efficiency by setting an upper bound on the number of CHs and trying to minimize the number of CHs compared to that upper bound. It also maximizes the protocol's scalability by using two-hop communication between the sensor nodes and their respective CHs. Then, a centralized weighted-sum PSO-based protocol is proposed for finding the optimal inter-cluster routing tree that connects the CHs to the Base Station (BS). This protocol is appropriate when the CHs are predetermined in advance. The proposed protocol uses a particle encoding scheme and defines an objective function to find the optimal routing tree. The objective function is used to build the trade-off between the energy-efficiency and data delivery reliability of the constructed tree. Finally, a centralized multi-objective Pareto-optimization approach is adapted to find the optimal network configuration that includes both the optimal set of CHs and the optimal routing tree. A new individual encoding scheme that represents a joint solution for both the clustering and routing problems in WSNs is proposed. The proposed protocol uses a variable number of CHs, and its objective is to assign each network node to its respective CH and each CH to its respective next hop. The joint problem of clustering and routing in WSNs is formulated as a multi-objective minimization problem with a variable number of CHs, aiming at determining an energy efficient, reliable (in terms of data delivery) and scalable clustering and routing scheme. The formulated problem has been solved using two state-of-the-art Multi-Objective Evolutionary Algorithms (MOEA), and their performance has been compared. The proposed protocols were developed under realistic network settings. No assumptions were made about the nodes' location awareness or transmission range capabilities. The proposed protocols were tested using a realistic energy consumption model that is based on the characteristics of the Chipcon CC2420 radio transceiver data sheet. Extensive simulations on 50 homogeneous and heterogeneous WSN models were evaluated and compared against well-known cluster-based sensor network protocols.

Download or read book Swarm Intelligence Optimization written by Abhishek Kumar and published by John Wiley & Sons. This book was released on 2021-01-07 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resource optimization has always been a thrust area of research, and as the Internet of Things (IoT) is the most talked about topic of the current era of technology, it has become the need of the hour. Therefore, the idea behind this book was to simplify the journey of those who aspire to understand resource optimization in the IoT. To this end, included in this book are various real-time/offline applications and algorithms/case studies in the fields of engineering, computer science, information security, and cloud computing, along with the modern tools and various technologies used in systems, leaving the reader with a high level of understanding of various techniques and algorithms used in resource optimization.

Download or read book Emerging Technologies in Data Mining and Information Security written by João Manuel R. S. Tavares and published by Springer Nature. This book was released on 2021-05-04 with total page 994 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers, and case studies related to all the areas of data mining, machine learning, Internet of things (IoT), and information security.

Download or read book Performability in Internet of Things written by Fadi Al-Turjman and published by Springer. This book was released on 2018-08-22 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses the challenges in the convergence of technologies as the Internet of Things (IoT) evolves. These include sensing, computing, information processing, networking, and controlling intelligent technologies. The contributors first provide a survey of various assessment and evaluation approaches available for successful convergence. They then go on to cover several operational ideas to apply. The contributors then discuss the challenges involved bridging gaps in computation and the communication process, hidden networks, intelligent decision making, human-to-machine perception and large-scale IoT environments. The contributors aim to provide the reader an overview of trends in IoT in terms of performability and traffic modeling and efforts that can be spent in assessing the graceful degradation in IoT paradigms. Provides a survey of IoT assessment and evaluation approaches; Covers new and innovative operational ideas that apply to the IoT industry and the industries it affects; Includes chapters from researchers and industry leaders in IoT from around the world.

Download or read book Communication and Intelligent Systems written by Harish Sharma and published by Springer Nature. This book was released on with total page 459 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Communication and Computing Systems written by B.M.K. Prasad and published by CRC Press. This book was released on 2017-02-15 with total page 1551 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of accepted papers that were presented at the International Conference on Communication and Computing Systems (ICCCS-2016), Dronacharya College of Engineering, Gurgaon, September 9–11, 2016. The purpose of the conference was to provide a platform for interaction between scientists from industry, academia and other areas of society to discuss the current advancements in the field of communication and computing systems. The papers submitted to the proceedings were peer-reviewed by 2-3 expert referees. This volume contains 5 main subject areas: 1. Signal and Image Processing, 2. Communication & Computer Networks, 3. Soft Computing, Intelligent System, Machine Vision and Artificial Neural Network, 4. VLSI & Embedded System, 5. Software Engineering and Emerging Technologies.

Download or read book Glowworm Swarm Optimization written by Krishnanand N. Kaipa and published by Springer. This book was released on 2017-01-10 with total page 265 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm. It also discusses several research problems at different levels of sophistication that can be attempted by interested researchers. The generality of the GSO algorithm is evident in its application to diverse problems ranging from optimization to robotics. Examples include computation of multiple optima, annual crop planning, cooperative exploration, distributed search, multiple source localization, contaminant boundary mapping, wireless sensor networks, clustering, knapsack, numerical integration, solving fixed point equations, solving systems of nonlinear equations, and engineering design optimization. The book is a valuable resource for researchers as well as graduate and undergraduate students in the area of swarm intelligence and computational intelligence and working on these topics.

Download or read book Proceedings of ICETIT 2019 written by Pradeep Kumar Singh and published by Springer Nature. This book was released on 2019-09-23 with total page 1144 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents high-quality, original contributions (both theoretical and experimental) on Information Security, Machine Learning, Data Mining and Internet of Things (IoT). It gathers papers presented at ICETIT 2019, the 1st International Conference on Emerging Trends in Information Technology, which was held in Delhi, India, in June 2019. This conference series represents a targeted response to the growing need for research that reports on and assesses the practical implications of IoT and network technologies, AI and machine learning, data analytics and cloud computing, security and privacy, and next generation computing technologies.

Download or read book Proceedings of International Conference on Recent Trends in Computing written by Rajendra Prasad Mahapatra and published by Springer Nature. This book was released on 2022-01-15 with total page 826 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is a collection of high-quality peer-reviewed research papers presented at International Conference on Recent Trends in Computing (ICRTC 2021) held at SRM Institute of Science and Technology, Ghaziabad, Delhi, India, during 4 – 5 June 2021. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. The book presents original works from researchers from academic and industry in the field of networking, security, big data and the Internet of things.

Download or read book Proceedings of 2nd International Conference on Communication Computing and Networking written by C. Rama Krishna and published by Springer. This book was released on 2018-09-07 with total page 1039 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides insights from the 2nd International Conference on Communication, Computing and Networking organized by the Department of Computer Science and Engineering, National Institute of Technical Teachers Training and Research, Chandigarh, India on March 29–30, 2018. The book includes contributions in which researchers, engineers, and academicians as well as industrial professionals from around the globe presented their research findings and development activities in the field of Computing Technologies, Wireless Networks, Information Security, Image Processing and Data Science. The book provides opportunities for the readers to explore the literature, identify gaps in the existing works and propose new ideas for research.

Download or read book ICDSMLA 2021 written by Amit Kumar and published by Springer Nature. This book was released on 2023-02-06 with total page 875 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-impact articles from the 3rd International Conference on Data Science, Machine Learning & Applications 2021. It highlights the latest developments in the areas of artificial intelligence, machine learning, soft computing, human–computer interaction and various data science and machine learning applications. It brings together scientists and researchers from different universities and industries around the world to showcase a broad range of perspectives, practices and technical expertise.

Download or read book Proceedings on International Conference on Data Analytics and Computing written by Anupam Yadav and published by Springer Nature. This book was released on 2023-09-09 with total page 391 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features selected papers presented at International Conference on Data Analytics and Computing (ICDAC 2022), organized by Department of Mathematics, College of Science and Technology, Wenzhou-Kean University, Wenzhou, China, held during May 28–29, 2022. This book includes state-of-the-art current trends in data science, data analytics optimization, soft computing and related areas. Its primary readers are postgraduate students, researchers and academic professionals.

Download or read book Analysis of Energy Efficient Clustering Algorithms for Wireless Sensor Network WSN written by Arun Ranganathan and published by . This book was released on 2018 with total page 14 pages. Available in PDF, EPUB and Kindle. Book excerpt: A Wireless Sensor Network (WSN) consists of a huge number of tiny, lesser-cost devices with higher sensing ranges, processing and transmitting abilities. Because the sensor nodes have restricted battery power, energy efficiency is a significant design problem. Clustering is a successful algorithm used to decrease energy usage and increase the lifetime of WSN. Clustering algorithms group similar nodes in independent clusters. Every cluster has at least one Cluster Head (CH). Nodes send packet information to particular CHs. CHs send information to the Base Station. The characteristics of the energy heterogeneity of WSNs must be measured when developing clustering protocols. The major objective of this article is to study a modern survey on several clustering protocols or algorithms reported in the literature on WSNs. The review article also presents a detailed survey of several clustering algorithms for solving energy efficiency problems in WSNs and also presents the issues and advantages of various clustering algorithms in WSNs. The traditional clustering algorithms are simulated broadly, and the results are compared with the existing algorithms to demonstrate their results in terms of network life, energy usage, and Packet Delivery Ratio.