Geographic Drone-based Route Optimization Approach for Emergency Area Ad-Hoc Network
作者机构:Department of Electronics and Communication EngineeringKongunadu College of Engineering and TechnologyThottiamTrichy621215India
出 版 物:《Computer Systems Science & Engineering》 (计算机系统科学与工程(英文))
年 卷 期:2023年第45卷第4期
页 面:985-1000页
核心收录:
学科分类:08[工学] 082503[工学-航空宇航制造工程] 0825[工学-航空宇航科学与技术]
主 题:Mobile ad hoc networks(MANETs) geographical graph-based mapping(GGM) geographic drone based route optimization data speed anchor node’s
摘 要:Wireless sensor Mobile ad hoc networks have excellent potential in moving and monitoring disaster area networks on real-time *** recent challenges faced in Mobile Ad Hoc Networks(MANETs)include scalability,localization,heterogeneous network,self-organization,and self-sufficient *** this background,the current study focuses on specially-designed communication link establishment for high connection stability of wireless mobile sensor networks,especially in disaster area *** protocols focus on location-dependent communications and use networks based on typically-used Internet Protocol(IP)***,IP-based communications have a few limitations such as inefficient bandwidth utilization,high processing,less transfer speeds,and excessive memory *** overcome these challenges,the number of neighbors(Node Density)is minimized and high Mobility Nodes(Node Speed)are *** proposed Geographic Drone Based Route Optimization(GDRO)method reduces the entire overhead to a considerable level in an efficient manner and significantly improves the overall performance by identifying the disaster *** drone communicates with anchor node periodically and shares the information to it so as to introduce a drone-based disaster network in an *** routing is a promising approach to enhance the routing efficiency in *** algorithm helps in reaching the anchor(target)node with the help of Geographical Graph-Based Mapping(GGM).Global Positioning System(GPS)is enabled on mobile network of the anchor node which regularly broadcasts its location information that helps in finding the *** first step,the node searches for local and remote anticipated Expected Transmission Count(ETX),thereby calculating the estimated *** Signal Strength Indicator(RSSI)results are stored in the local memory of the ***,the node calculates the least remote anticipated ETX,Link Loss Rate,and information to the new location.