Improving Performance of WSN Based On Hybrid Range Based Approach

Improving the performance of WSN supported hybrid range based approach. WSN is self-possessed minimization error of nodes prepared with limited resources, limited memory and computational abilities. WSNs reliably work in unidentified hubs and numerous situations, it's difficult to trade sensor hubs after deployment, and therefore a fundamental objective is to optimize the sensor nodes' lifetime. A WSN may be a set of a large number of resource-constrained sensor nodes which have abilities for information detection, processing, and short-range radio communication, Analysis localization error minimization based several applications of wireless sensor networks (WSN) need data regarding the geographical location of each detector node. Self-organization and localization capabilities are one in every of the foremost necessary needs in detector networks. It provides a summary of centralized distance-based algorithms for estimating the positions of nodes during very sensing nodes. Secure localization of unknown nodes during a very wireless detector network (WSN) may be a vital analysis subject wireless sensor networks (WSN), a component of enveloping computing, are presently getting used on a large scale to look at period environmental standing, Be that as it may, these sensors work underneath extraordinary vitality imperatives and are planned by remembering an application. Proposed approaches are sensing node location and challenging task, involve assessing sort of various parameters needed by the target application. In study realize drawback not sense positioning of nodes .but proposed approach formula recognizes the optimal location of nodes supported minimize error and best answer in WSN. Localization algorithms mentioned with their benefits and disadvantages. Lastly, a comparative study of localization algorithms supported the performance in WSN. This was often done primarily to offer a summary of the proposed approach known today for reliable data and minimizing the energy consumption in wireless sensor networks

A Comprehensive Study on Security in Wireless Sensor Networks(WSNs)

Wireless Sensor Networks(WSNs) are an important component of today\u27s ubiquitous and pervasive computing. Without WSNs, the applications aren\u27t as clever as they could be. Almost every scenario involving WSNs necessitates a quick and precise localization process. Existing frameworks and algorithms, on the other hand suffer from a significant disadvantage when it comes to beacon node trust, which is a critical component in Wireless Sensor Network. For localization this has to be ensured.. This issue is addressed in our current solution. In the harsh environment of WSN operations, malicious nodes are inescapable. As a consequence, A technique has been proposed to find out the problem while simultaneously offering a safe trust based localization system. It focuses on the algorithm for assessing trust and the creation of blockchains. Every beacon node’s truth value(trust value) are determined using various trust criteria with the corresponding weights being dynamically changed during localization process. After that the most reliable beacon nodes are chosen for mining. This two-step process ensures that the blockchain is kept up to current, and that beacon nodes have consistent Tvalues(Trust values). We conducted a series of simulations to test the suggested algorithm’s performance and effectiveness. The accuracy of localization, harmful activity detection, the confusion matrixes are used to compare results

Enhancing Security and Energy Efficiency in Wireless Sensor Network Routing with IOT Challenges: A Thorough Review

Wireless sensor networks (WSNs) have emerged as a crucial component in the field of networking due to their cost-effectiveness, efficiency, and compact size, making them invaluable for various applications. However, as the reliance on WSN-dependent applications continues to grow, these networks grapple with inherent limitations such as memory and computational constraints. Therefore, effective solutions require immediate attention, especially in the age of the Internet of Things (IoT), which largely relies on the effectiveness of WSNs. This study undertakes a comprehensive review of research conducted between 2018 and 2020, categorizing it into six main domains: 1) Providing an overview of WSN applications, management, and security considerations. 2) Focusing on routing and energy-saving techniques. 3) Reviewing the development of methods for information gathering, emphasizing data integrity and privacy. 4) Emphasizing connectivity and positioning techniques. 5) Examining studies that explore the integration of IoT technology into WSNs with an eye on secure data transmission. 6) Highlighting research efforts aimed at energy efficiency. The study addresses the motivation behind employing WSN applications in IoT technologies, as well as the challenges, obstructions, and solutions related to their application and development. It underscores that energy consumption remains a paramount issue in WSNs, with untapped potential for improving energy efficiency while ensuring robust security. Furthermore, it identifies existing approaches' weaknesses, rendering them inadequate for achieving energy-efficient routing in secure WSNs. This review sheds light on the critical challenges and opportunities in the field, contributing to a deeper understanding of WSNs and their role in secure IoT applications

Optimisation of Mobile Communication Networks - OMCO NET

The mini conference “Optimisation of Mobile Communication Networks” focuses on advanced methods for search and optimisation applied to wireless communication networks. It is sponsored by Research & Enterprise Fund Southampton Solent University. The conference strives to widen knowledge on advanced search methods capable of optimisation of wireless communications networks. The aim is to provide a forum for exchange of recent knowledge, new ideas and trends in this progressive and challenging area. The conference will popularise new successful approaches on resolving hard tasks such as minimisation of transmit power, cooperative and optimal routing