2018
DOI: 10.1504/ijahuc.2018.092652
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Assessment of heuristics for self-stabilisation in real-time interactive communication overlays

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Cited by 3 publications
(3 citation statements)
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“…If there is a loop in the path after the crossing, they avoid it, after crossing, so there is a low possibility of producing illegal offspring, herein that's why we're going to introduce the mutation operator from the last population, the illegal offspring will be forced to mutate, after the mutation operator. The repair function deletes the node included twice in route and check if the next node is valid, each route is assessed by fitness function (3), repeat according to the number of iterations. Finally, with the fitness function, we select the best route traveled from the source node to the destination node, the procedure is illustrated by Figure 3.…”
Section: Proposed Approach: Parallelism Genetic Algorithms In Ad Hoc Network (Pga)mentioning
confidence: 99%
See 1 more Smart Citation
“…If there is a loop in the path after the crossing, they avoid it, after crossing, so there is a low possibility of producing illegal offspring, herein that's why we're going to introduce the mutation operator from the last population, the illegal offspring will be forced to mutate, after the mutation operator. The repair function deletes the node included twice in route and check if the next node is valid, each route is assessed by fitness function (3), repeat according to the number of iterations. Finally, with the fitness function, we select the best route traveled from the source node to the destination node, the procedure is illustrated by Figure 3.…”
Section: Proposed Approach: Parallelism Genetic Algorithms In Ad Hoc Network (Pga)mentioning
confidence: 99%
“…In ad-hoc networks, one of the most problems is routing in quick time, which has a significant impact on the network's performance, so the best routing should find an optimum path in a specified time to satisfy the quality of service from the source node to destination node [1], the field use extensively the mathematical reasoning (logic, probabilities, data analysis) and process modeling, but it is very difficult to solve the complex problems by the exact methods [2]. For that reason, we use the meta-heuristic [3], among these methods are the genetic algorithm (GA) that will give good results, we will explain them in detail in the following sections. In general, GA is very reliable and pushes to solve very high complexity problems, but they take a long time to find the best solution, therefore the global search method can obtain accurate approximate results.…”
Section: Introductionmentioning
confidence: 99%
“…Dai Yong used the Internet of Things technology to analyze the business model of cultural communication industry, proposed three new business models, and analyzed the innovation mechanism and path [12]. Yu Chunshun, through the analysis of the forms of interpersonal communication, ideological expression and identity differences in the Internet of Things communication system, put forward that people's concepts will change with the communication situation and show a trend [13]. Vanzara, Thakkar, and Sharma proposed a TCP exhibition, which mainly integrates video transmission applications, big data analysis and Internet of Things technologies, and they applied them to emerging scenarios to make them running at high speed [14]- [16].…”
Section: B Summary Of the Application Of Internet Of Things Technologymentioning
confidence: 99%