2013
DOI: 10.1504/ijahuc.2013.054017
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Delay analysis of randomised algorithms for link scheduling in wireless networks

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Cited by 4 publications
(5 citation statements)
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References 30 publications
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“…We consider the characteristics of non‐uniform traffic to design two algorithms which are named Rnd4 and Rnd4rm . In design of those algorithms, we follow our achievements in [15] to attain less average queue length and then less average delay. The idea is to increase the probability of achieving the optimal solution.…”
Section: Proposed Algorithmsmentioning
confidence: 99%
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“…We consider the characteristics of non‐uniform traffic to design two algorithms which are named Rnd4 and Rnd4rm . In design of those algorithms, we follow our achievements in [15] to attain less average queue length and then less average delay. The idea is to increase the probability of achieving the optimal solution.…”
Section: Proposed Algorithmsmentioning
confidence: 99%
“…In our previous work, we have analytically characterised the delay behaviour of randomised algorithms for link scheduling in wireless networks [15]. It has been shown that the average delay of a randomised algorithm is inversely proportional to the probability that the algorithm finds the optimal solution [15]. In other words, to keep delay small, it is necessary to have an algorithm that finds good matchings.…”
Section: Introductionmentioning
confidence: 99%
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“…M W IS, is one of the well-known NP-Hard problems (Sharma et al, 2006). Due to its favourable characteristics in terms of throughput and delay, many researches have been conducted to approximation (M W IS) by other simpler algorithms (Chaporkar et al, 2008;Joo, 2008) and characterising the delay performance of (M W IS) and its approximations (Le et al, 2009;Neely, 2008;Gupta and Shroff, 2011;Ghiasian et al, 2012). In this paper, we use different approach to cope with complexity of (M W IS).…”
Section: Literature Reviewmentioning
confidence: 99%