Delay aware downlink resource allocation scheme for future generation tactical wireless networks

Abstract

<span lang="EN-US">For a very long time protecting physical border integrity is considered to be a challenging thing. Government organizations must provide trade operations for economic growth and at the same time must prevent malicious activity. A different resource such as drones, sensors, and radars are used for monitoring border areas which must be communicated to the remote border security force. Efficient wireless communication is required for communicating information. However, these devices cannot connect to a centralized network directly; thus, are connected in an ad-hoc fashion to connect centralized server. Different tactical network applications require different quality of service (QoS); hus efficient resource scheduling plays a very important role. Existing resource scheduling adopting deep learning and reinforcement techniques fails to meet the quality of experience (QoE) of the user and doesn’t assure access fairness among contending users. Further, require network information in prior and induce high training time. For overcoming research issues, this paper presents a delay-aware downlink resource scheduling (DADRA) technique for future generation networks. The optimization problem of reducing buffer overflow and improving scheduling QoS performance is solved using a genetic algorithm with an improved crossover function. Experiment outcome shows DADRA achieves much better throughput, slot utilization, and packet failure performance when compared with standard resource allocation technique.</span>

Quantum drones and the future of military warfare

“…Crowding escape and restriction in WSN strive to reduce packet loss due to congestion while guaranteeing that all network flows are allocated equal capacity. WSN has the potential to be utilized in a variety of applications, including but not limited to the following: traffic monitoring, pipeline monitoring, landslide detection, rehabilitation applications, border patrol, laboratory tutoring, precision agriculture, real-time soccer game monitoring, real-time healthcare monitoring, asset tracking, and military applications [1], [33], [66]. For all of these important applications, an authorized user (external party) need direct access to real-time data from specific chosen sensor nodes.…”