Implementation of rate-adaptive integer forcing compression in distributed wireless relay networking

Guo, Jing; Ibrahim, Ahmad Asrul; Agaskar, Ameya; Love, David J.; Yazdani, Navid

doi:10.1109/ciss.2018.8362202

Cited by 6 publications

(1 citation statement)

References 31 publications

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“…The main challenge is designing a routing algorithm which can perform well without incurring a lot of end-to-end delays and node relay delays. Guo et al (2018) discussed some of the delay-related algorithms. However, they lack the cognitive features required for opportunistic spectrum access.…”

Section: Routing Challenges and Delaymentioning

confidence: 99%

Spectrum-Aware Transitive On-Demand Routing Protocol for Military Cognitive Radio Ad Hoc Networks

Phaswana,

Velempini

2023

S AFR COMP J

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The advancement of wireless technology is increasing the demand for scarce spectrum. Cognitive radio ad hoc networks (CRAHNs) were proposed as a solution to spectrum scarcity which is also deployed in combat. However, military cognitive radio ad-hoc networks (MCRAHNs) are subject to destruction and frequent link breakages. The challenge with MCRAHNs routing is the timing-out of packets. This paper proposes the spectrum-aware transitive multi-cast on-demand distance vector (SAT-MAODV), optimised for throughput and delay. The relay nodes are selected based on zonal data and mobility. This is achieved through handshaking and sharing of location data. The nodes are expected to store location data of nodes encountered, which is used in routing and in determining the movement of the node. The mobility of military nodes is organised and structured, which simplifies routing. The SAT-MAODV was evaluated in network simulator 2 and the results show that the scheme is effective. UsingSAT-MAODV instead of xWCETT reduced routing path and node relay delay by at least 65% and 13% respectively, and increased achievable throughput by 31%. It also improved the delivery ratio by 9% while reducing latency by 27% in comparison with MARSA.

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Section: Routing Challenges and Delaymentioning

confidence: 99%