计算机科学
计算机网络
无线自组网
布线(电子设计自动化)
路由协议
节点(物理)
贪婪算法
搜救
电信
人工智能
算法
工程类
机器人
结构工程
无线
作者
Juhi Agrawal,Monit Kapoor,Ravi Tomar
出处
期刊:Transactions on Emerging Telecommunications Technologies
日期:2022-05-27
卷期号:33 (9)
被引量:9
摘要
Abstract Flying Ad‐hoc Networks (FANETs) play a major role in various civilian and non‐civilian applications especially in search and rescue operations after natural disasters. Unmanned aerial vehicles (UAVs) collect critical information in the form of images and videos from disaster areas and send it to the ground station (GS) for immediate rescue operations. UAVs capture the information and send it to the GS to carry out the rescue operations without any delay. A small number of UAVs operate over a large geographic area for rescue operations when a sudden natural disaster occurs that creates a sparse or intermittent network. Therefore, routing is the most challenging issue in sparse FANETs due to the low‐node density network and high mobility of UAVs Existing routing protocols for connected or dense FANETs cannot be directly adopted in extremely sparse FANETs. Only a few works exist that focus on sparse networks as most of the work is based on connected networks. Traditional routing algorithms for sparse FANETs are based on a flood‐based strategy that creates unnecessary delays in the network. Some recently developed routing algorithms directly adopt greedy‐based forwarding for routing in sparse networks and consider the non‐realistic assumption without considering delay as a significant constraint of search and rescue operations. This paper presents a novel ferry mobility‐based direction and time‐aware greedy delay‐tolerant routing (FM‐DT‐GDR) protocol for data transfer to GS during disaster relief operations in the sparse FANETs without delay. FM‐DT‐GDR uses a store, carry, and forward (SCF) mechanism to prevent data loss when no neighbors are present. Upon receiving the beacon from the ferry node, the search nodes calculate the nearest destination from their location between the ferry and the GS and send the data accordingly. The ferry collects data from the search UAVs and sends it to the GS. Optimized ferry trajectories significantly improve route availability between GS and search UAVs Furthermore, the proposed routing scheme efficiently selects the forwarder node to send the data to the selected destination without any delay. FM‐DT‐GDR provides significant improvements in packet delivery ratio, routing overhead, and end‐to‐end delay compared to traditional routing protocols.
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