Dynamic message prioritization in tactical wireless MANET

Abstract

Normal design practice is to decouple the design of applications using a network from the design of the network itself. Designers optimize network performance by only focusing on network transport layer mechanisms for robustness (connectivity), efficiency (throughput), & speed of service (latency). Applications offer loads to the network and rely on the QoS function in the network to prioritize the traffic flows. By contrast, network centric operations focus on application layer features like situation awareness and synchronization to enhance force effectiveness. Therefore, in contrast to enterprise networks in which QoS processes messages based on fixed priorities by data type, in mission orientated MANET, QoS must be a cooperative function between application and network resource management that uses dynamic priority allocation derived from task priorities established by commanders within echelon hierarchies 1,2 .

Towards faster big data analytics for anti‐jamming applications in vehicular ad‐hoc network

“…However, based on the literature review, we found that current anti-jamming applications focus on using vehicular data without checking their priority, which is very important for dynamic wireless environments. 56 In order to support the visualization of urban vehicular systems, Big Data Analytics tools have to select the most valuable contextual information from the collected vehicular data and then facilitate the analysis process of V2X data by making fast and intelligent decisions. 4 This means that the prioritized outcomes of Big Data Analytics could help transportation systems learn more quickly how to improve their settings properly and thus avoid classical urban infrastructure problems like jamming attacks.…”