Improving the geo-drone-based route for effective communication and connection stability improvement in the emergency area ad-hoc network

• Published in: Sustainable energy technologies and assessments Vol. 53; p. 102558
• Main Authors: patki, Vinayak, Mehbodniya, Abolfazl, Webber, Julian L., kuppusamy, Arulmani, anul haq, Mohd, kumar, Anil, Karupusamy, Sathishkumar
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-10-2022
• Subjects: GEO-DRONE; Geographic information; GOS; Heuristic algorithm; Mobile adhoc; Routing; Routing; GEO-DRONE; GOS; Geographic information; Heuristic algorithm; Mobile adhoc
• ISSN: 2213-1388
• DOI: 10.1016/j.seta.2022.102558

Current work focuses on establishing communication connectivity that is specially designed for wireless mobile sensor networks, especially the high connectivity stability of the disaster area network. Existing system focuses on location initial communications and utilizes networks based on most Internet Protocol (IP) frameworks. To solve these problems, reduce the number of neighboring countries (node density) and avoid high mobility notes (node speed). This proposed Geographic Node Speed Drone Based Routing Path Optimization (GNSDRPO) system to significantly reduce overall overhead and node speed improves overall performance by detecting the area of disaster. To keep the drone-based disaster network in the area, this drone communicates from time to time and shares information with the anchor tip. Geo-tracking appears to be a promising approach to improving routing performance on the MANET. Geographic navigation appears to be a promising approach to improving routing performance on MANET. This method is to reach the anchor end node using a geographical map-based mapping (GGMBM). The mobile anchor enables GPS on the mobile network and constantly broadcasts its location to assist locations. In the first step, the node looks for the expected ETX (Expected number of Transfers) locally and remotely and calculates the distance estimated by it. RSSI results are stored in the node's local memory. The node calculates the expected ETX (Expected number of Transfers), connection loss rate and new location information over short distances. Freeway heuristic algorithm improves data speed and performance and determines path, optimization problem. This proposed method improves efficient communication, increases efficiency and reduces latency in the disaster area network compared to other methods.