Wireless sensor networks protocols in IoT. A performance evaluation and comparison


Book Description

Master's Thesis from the year 2018 in the subject Engineering - Computer Engineering, grade: 3.71, Cyprus International University, language: English, abstract: In this thesis, three Wireless Sensor Networks – Ad-hoc On-Demand Distance Vector, Dynamic Source routing protocol and Optimized Link State routing protocol have been simulated and compared in typical IoT scenarios. Their performance was evaluated using three performance metrics and then they were compared; the performance metrics are Routing Overhead, Average End to End Delay and Throughput. Different number of nodes with different percentages of mobile nodes were analyzed. Specifically, number of nodes analyzed were 20, 40, 60 and 70 with the number of mobile nodes 10, 15 and 20 using OPNET while with NS 3 20, 60 and 100 nodes were analyzed. For each of the number of nodes, all the number of mobile nodes were evaluated. The routing protocols were analyzed using the OPNET Simulation Software and NS-3and the environment size for the simulation was 1000m by 1000m. IoT has continue to grow bigger since from its inception. Many mobile devices are now available, the internet and its application have only grown bigger and better. As IoT is continually growing, so also is the complexity, as a result issues pertaining routing have also increased. Many researches have been made in attempt to proffer solutions that will either minimize or eliminate these routing issues. Different routing protocols have been designed with different specifications for different applications of the IoT. Also, attempts have been made to implement routing protocols of other types of networks in the IoT.




Comparitive Performance Study Of Routing Protocols in Wireless Sensor Network


Book Description

Master's Thesis from the year 2012 in the subject Computer Science - Technical Computer Science, grade: 70%, Griffith College Dublin (Faculty of Computing ), course: MSC Computing , language: English, abstract: Modern wireless sensor network can be expanded into large geographical areas via cheap sensor devices which can sustain themselves itself with very a low power usage. The networking capability enables these sensor nodes to incorporate, collaborates, and coordinates with among each other , and this is a fundamental shift in the field of networks which differentiates sensor network nodes form other networks such as IP-datagram, Ad-Hoc and so on. Currently, routing in the wireless sensor network faces multiple challenges, such as new scalability, coverage, packet loss, interference, real-time audio and video real time streaming, harsh weather environments, energy constraints and so forth. Network routing can be called an amalgamation of routing protocol and routing algorithm. The job of the routing protocols is to provide a cohesive view of network nodes topology while routing algorithm provides the intelligence in terms of optimal path calculation. We set out to conduct a detailed study of routing protocols in a IP-datagram, wireless ad-hoc and sensor network, and also accomplished routing protocols comparison against the chosen network performance factor dropped packet ratio. Routing protocols play an important role in modern wireless communication networks. Routing protocols’ performance can be measured by a number of factors such as packet dropped rate and so forth. Rumour and Optimal Spinal Routing algorithms are compared using ShoX simulation and the results and analysis are based upon the simulation experiments.







Algorithms and Protocols for Wireless Sensor Networks


Book Description

A one-stop resource for the use of algorithms and protocols in wireless sensor networks From an established international researcher in the field, this edited volume provides readers with comprehensive coverage of the fundamental algorithms and protocols for wireless sensor networks. It identifies the research that needs to be conducted on a number of levels to design and assess the deployment of wireless sensor networks, and provides an in-depth analysis of the development of the next generation of heterogeneous wireless sensor networks. Divided into nineteen succinct chapters, the book covers: mobility management and resource allocation algorithms; communication models; energy and power consumption algorithms; performance modeling and simulation; authentication and reputation mechanisms; algorithms for wireless sensor and mesh networks; and algorithm methods for pervasive and ubiquitous computing; among other topics. Complete with a set of challenging exercises, this book is a valuable resource for electrical engineers, computer engineers, network engineers, and computer science specialists. Useful for instructors and students alike, Algorithms and Protocols for Wireless Sensor Networks is an ideal textbook for advanced undergraduate and graduate courses in computer science, electrical engineering,and network engineering.




Wireless Sensor Networks. Routing Protocol Overview


Book Description

Document from the year 2020 in the subject Engineering - Computer Engineering, , language: English, abstract: Sensor nodes have restricted storage, computational and energy resources, these restrictions place a limit on the types of deployable routing mechanisms. Routing protocol disseminates information that enables the sensor nodes to select routes to communicate with other nodes on the network and the choice of the route is determined by the routing algorithms. Thus the routing protocol helps the nodes to gain knowledge about the topology of the network to which it is attached directly. There are mainly two types of routing processes: one is static routing and the other is dynamic routing. In a static routing, the routing tables are set up in a static manner in the nodes. The network routes for the packet are initially set between the nodes. However, if any node on the specified route fails, the data may not reach the destination. In a dynamic routing, routing tables in the routers often change whenever the possible routes change. Dynamic routing is more suitable as the nodes in WSNs may frequently change their position and die at any moment. The routing protocols are classified into single hop and multi hop routing. In a single hop routing, sensor node directly communicates with the sink to share the gathered information. Energy consumption is high in the network using single hop protocol. In multi hop routing, data is routed through the intermediate nodes to the base station. Each node transfers sensed data to the immediate node which in turn transfers the data to the next immediate node and finally the data reaches the base station. Energy consumption in this kind of routing protocol is less and thus the lifetime of the nodes is high. The major challenge to the efficient operation of wireless sensor network lies in its ability to deliver the sensed information from the nodes to the sink within the specific time duration without the loss of data packets with high security. The sensor nodes depend on the battery source for their operation which has limited capacity. Thus the energy resource of the sensor nodes has to be used efficiently in order to increase the operational lifetime of the network.




Soft Computing and Signal Processing


Book Description

The book presents selected research papers on current developments in the field of soft computing and signal processing from the International Conference on Soft Computing and Signal Processing (ICSCSP 2018). It includes papers on current topics such as soft sets, rough sets, fuzzy logic, neural networks, genetic algorithms and machine learning, discussing various aspects of these topics, like technological, product implementation, contemporary research as well as application issues.




Cognitive Computing and Cyber Physical Systems


Book Description

This 2-volume set constitutes the post-conference proceedings of the 4th International Conference on Cognitive Computing and Cyber Physical Systems, IC4S 2023, held in Bhimavaram, Andhra Pradesh, India, during August 4-6, 2023. The theme of IC4S 2023 was: cognitive approaches with machine learning and advanced communications. The 70 full papers were carefully reviewed and selected from 165 submissions. The papers are clustered in thematical issues as follows: machine learning and its applications; cyber security and signal processing; image processing; smart power systems; smart city eco-system and communications.




Computer Communication, Networking and IoT


Book Description

This book features a collection of high-quality, peer-reviewed papers presented at the Fifth International Conference on Intelligent Computing and Communication (ICICC 2021) organized by the Department of Computer Science and Engineering and Department of Computer Science and Technology, Dayananda Sagar University, Bengaluru, India, on November 26 – 27, 2021. The book is organized in two volumes and discusses advanced and multi-disciplinary research regarding the design of smart computing and informatics. It focuses on innovation paradigms in system knowledge, intelligence, and sustainability that can be applied to provide practical solutions to a number of problems in society, the environment and industry. Further, the book also addresses the deployment of emerging computational and knowledge transfer approaches, optimizing solutions in various disciplines of science, technology, and healthcare.