Context aware routing management architecture for airborne networks

Abstract

Military environments require highly dynamic mobile ad hoc networks (MANETs) to meet operational mission requirements. Decision makers rely on the timely delivery of critical battlefield information to make informed determinations quickly and as accurately as possible. However, traditional MANET routing protocols do not provide quality of service (QoS). Furthermore, they do not implement active controls to minimise the impact of network congestion. This study proposes the use of the information embedded in an air tasking order (ATO) during the planning phase of military missions to optimise the network performance. The trajectories of relevant nodes (airborne platforms) participating in the MANET can be forecasted by parsing key information contained in the ATO. Using this idea it is possible to optimise network routes to minimise edge overutilisation and increase network throughput. In one simulated test case, there was a 25% improvement of network throughput, and 23% reduction on dropped packets. Using this technique, the authors can selectively preserve the QoS by establishing network controls that drop lowpriority packets when necessary. The algorithm improves the overall MANET throughput while minimising the packets dropped due to network congestion.

A Routing Delay Predication Based on Packet Loss and Explicit Delay Acknowledgement for Congestion Control in MANET

“…As the existing of wireless media on mobile devices has increased, multimedia applications have become a well-liked means of communication [1], [4], [13], [16], [17]. Because MANET is a particular variety of network, the CC mechanism for this area must be tailored to the particular features of the MANET.…”

“…In MANET, intensive streaming traffic can result in more packet loss, longer delay, and QoS-related performance degradation caused by congestion. Congestion among various problems of communication is a measurement method that affects network performance [1], [2], [4]. Congestion in node mainly causes because of buffer overflow, link interference or collision.…”

Performance Evaluation Based on Multi-UAV in Airborne Computer Network System

“…Fig. 3 shows the connection between the OMNET++ module and the X-PLANE plug-in [3]. Steps 3 and 4 in Fig.…”

“…Technological advancements in airborne computer network systems have provided these systems with increased processing power, memory, and the ability to adapt to a multitude of purposes, as well as to communicate with any other device, whether built-in or not. If an embedded system's failure might result in the loss of life, it is termed safety-critical [1][2][3]. A UAV is a vital embedded system application.…”

Network overhead crowd management mechanism of virtual mobile Internet

“…The SMART-hop setup request network was proposed, which is a specialized network that replaces long and overlapping broadcast wires with shorter wires and switches [11]. The article [12] proposed the use of the information embedded in an air tasking order during the planning phase of military missions to optimize the network performance. In article [13], the authors addressed the two-level dynamic scheme for improving the energy-efficient resource allocation and intercell-interference management of the heterogeneous networks.…”