A novel unmanned aerial vehicle‐sink enabled mobility model for military operations in sparse flying ad‐hoc network. Issue 5 (22nd February 2022)

• Record Type: Journal Article
• Authors: Agrawal, Juhi; Kapoor, Monit; Tomar, Ravi
• Is Part Of: Transactions on emerging telecommunications technologies. Volume 33:Issue 5(2022)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-02-22
• Subjects: Telecommunication -- Periodicals; 384.05
• DOI: 10.1002/ett.4466
• Languages: English
• ISSNs: 2161-5748

Abstract

Abstract: The flying ad‐hoc network (FANET) is a self‐configured, rapidly deployable network for a variety of time‐critical applications such as military and disaster relief operations. Most mobility models view FANETs as dense networks leading to unrealistic network scenarios and may not provide real‐world results. Unmanned aerial vehicles (UAVs) may not always be connected due to low battery, malfunction, budget constraints, or the nature of the application. Existing mobility models do not work in realistic FANET scenarios, that is, sparse FANETs, and simulate the model in a two‐dimensional domain. To address the issues, a novel mobility model has been proposed for military operations in sparse FANETs. This is the first paper that addresses the issue of sparse networks as well as implementing the proposed work in the simulator in three‐dimensional space. The proposed UAV‐sink enabled mobility model (US‐MM) increases the network performance without impeding the mobility of UAVs as UAVs perform critical functions in military operations. The simulation has been done using NS‐3.25. The obtained results show the efficiency of our proposed model which achieves increased network connectivity and stability of UAV's connection to the base station in the sparse FANETs. Abstract : (i) Most of the mobility models assume the FANETs as the dense network that leads to unrealistic network scenarios, (ii) a novel mobility model has been proposed for military operations in sparse FANETs, and (iii) UAV‐sink enabled mobility model (US‐MM) increases the performance of the network without hampering the mobility of UAVs.