Location Prediction for Improved Human Safety at Complex Environments
作者机构:Department of Electrical and Electronics EngineeringAngel College of Engineering and TechnologyTirupurTamilnaduIndia Department of Electronics and Communication EngineeringSri Krishna College TechnologyCoimbatoreTamilnaduIndia Department of Electronics and Communication EngineeringKGISL Institute of TechnologyCoimbatoreTamilnaduIndia
出 版 物:《Computers, Materials & Continua》 (计算机、材料和连续体(英文))
年 卷 期:2022年第71卷第6期
页 面:5219-5234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:Distance vector hop uninterrupted communication multipath routing anchor node localization
摘 要:In underground operation,primary consideration is *** recent decades,for minimizing accident and for preventing major economic losses and casualties,wireless sensors are used by various large mineral countries through early *** Improved DV-Hop Localization Algorithm(IDVHLA)is used in existing works for doing ***,accurate anchor node detection is impossible in existing works with the malicious nodes presence,where there won’t be any accurate sharing of anchor node’s location *** case of emergency situation,faster communication is a highly complex one.A technique calledModified Distance Vector Hop based Multipath Routing Protocol(MDVHMRP)is introduced in this proposed research work for resolving *** this work,to detect anchor node position,a Modified Distance Vector Hop technique is *** research work considers time taken and session time for computing neighbour node’s presence in addition to hop count *** nodes presence can be avoided by considering session time in neighbour node presence *** alert message are send by people in emergency crisis to sever in initial *** Dynamic Source Routing(DSR)routing protocol is used for doing immediate route path *** case of route path failure,for ensuring uninterrupted communication and faster communication,this work introduces amulti path *** distance vector hop technique is used for predicting anchor node location information and predicted information will be *** NS2 simulation environment,overall evaluation of this research work is carried *** compared with available techniques,localization accuracy is enhanced by proposed technique as proven in experimental results.