Design of efficient location‐based multipath self‐adaptive balancer router using particle swarm optimization in wireless sensor network

Abstract

Summary The power sensor terminals control in wireless sensor network (WSN) communicate within a small number of its radio range. As a branch operating based on the cluster routing protocol, it has proven to be effective in network topology management, energy reduction, and path connection link quality of the path. Location‐based clusters are categorized into member nodes and group/cluster heads (CHs). The CH election process increases the overhead of the network. The processing and energy limitations of the nodes are considered for the CH election process. The allocation of system resources is the major issue in the area of networks. In this work, the proposed multipath self‐adaptive balancer routing‐based particle swarm optimization (MLBAR‐PSO) achieves load balancing by means of the link quality of the route and the calculated average latency and reliability of the path. In this way, different trust values are set in each category. The forwarding node value is the value of each node based on the weight value, which is calculated based on the energy ratio of the node and the distance between the hiding node and the target node. Particle swarm optimization (PSO) selects the head cluster from a specific location within the cluster to enable other nodes to interact with the CH without spending energy. Also, the algorithm is used to find the optimal path for the base station and significantly increases the energy to reduce the distance and delay over the lifetime of the network.

Analysis of Improved Particle Swarm Algorithm in Wireless Sensor Network Localization

“…Some scholars choose the PSO algorithm for optimal path selection of base stations based on multipath adaptive balanced routing to perform proportional allocation of system resources. The results show that the algorithm is better applied and can find the optimal path effectively [5]. According to the advantages of the PSO algorithm in the localization algorithm, the article uses the algorithm for the WSN node localization to effectively improve the localization accuracy.…”

Research on the Application of Wireless Sensor in the Design of Curtain Automatic Adjustment System

“…Therefore, the future development of smart home will largely depend on the needs of ordinary families. In order to deal with these problems, it is necessary to develop a comprehensive, efficient and scalable home information management system, collect home information and data, set up a complete database, query and process information through computers, networks and remote devices, so that users can instantly understand and process complete information data, complete the function of monitoring and controlling home equipment, thereby enhancing user experience and solving problems [4]. The Internet of Things makes full use of the new generation of IT technology in all walks of life.…”