Improved Rat Swarm Based Multihop Routing Protocol for Wireless Sensor Networks

作     者：H.Manikandan D.Narasimhan 

作者机构：Department of CSESrinivasa Ramanujan CentreSASTRA Deemed UniversityThanjavurTamil Nadu 613401India Department of MathematicsSrinivasa Ramanujan CentreSASTRA Deemed UniversityThanjavurTamil Nadu 613401India 

出 版 物：《Intelligent Automation & Soft Computing》 (智能自动化与软计算（英文）)

年 卷 期：2023年第35卷第3期

页      面：2925-2939页

核心收录：

学科分类：0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

主　　题：Wireless sensor networks multihop routing clustering metaheuristics lifetime rat swarm optimizer 

摘      要：Wireless sensor networks(WSNs)encompass a massive set of sensor nodes,which are self-configurable,inexpensive,and *** sensor nodes undergo random deployment in the target area and transmit data to base station using inbuilt *** reducing energy consumption and lengthen lifetime of WSN,multihop routing protocols can be *** study develops an improved rat swarm optimization based energy aware multi-hop routing(IRSO-EAMHR)protocol for *** important intention of the IRSO-EAMHR method is for determining optimal routes to base station(BS)in the clustered ***,a weighted clustering process is performed to group the nodes into clusters and select cluster heads(CHs).Next,the IRSO-EAMHR approach derives afitness function containing three input parameters(residual energy,dis-tance,and node degree)for routing *** IRSO technique was designed by the integration of Levy movement concepts into the traditional RSO *** experimental result analysis of the IRSO-EAMHR technique is carried out and the outcomes are examined in various *** simulation outcomes demonstrate the promising performance of the IRSO-EAMHR technique over the recent state of art approaches.