2022
DOI: 10.1155/2022/5973433
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Modified Floyd–Warshall’s Algorithm for Maximum Connectivity in Wireless Sensor Networks under Uncertainty

Abstract: The main objective of this paper is to find the duration of maximum time connectivity of sensor nodes under uncertainty utilizing the prespecified voltage/power of each sensor node. Wireless sensor networks (WSNs) are composed of nodes that transmit data between each other over routing. A variety of routing protocols and algorithms exist, each related to a particular set of conditions. There are a variety of routing algorithms available, some of which can be used in WSNs for routing. The goal of the fastest di… Show more

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Cited by 10 publications
(7 citation statements)
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“…Furthermore, we can spread them to other aggregation operators, such as power mean AOs, Bonferroni mean AOs, Hamacher AOs, Hamy mean AOs, and Dombi AOs with SIR techniques. In the future, there is a lot of potential in machine learning, information retrieval, data mining, artifcial intelligence, social network analysis, and many other areas in uncertain scenarios [38][39][40][41][42][43][44][45][46][47][48]. Tese are all fascinating topics for future studies.…”
Section: Discussionmentioning
confidence: 99%
“…Furthermore, we can spread them to other aggregation operators, such as power mean AOs, Bonferroni mean AOs, Hamacher AOs, Hamy mean AOs, and Dombi AOs with SIR techniques. In the future, there is a lot of potential in machine learning, information retrieval, data mining, artifcial intelligence, social network analysis, and many other areas in uncertain scenarios [38][39][40][41][42][43][44][45][46][47][48]. Tese are all fascinating topics for future studies.…”
Section: Discussionmentioning
confidence: 99%
“…This indicates the direct priority between every two parameters. To obtain the indirect priority between any two parameters, according to the reference 32 , the Floyd algorithm is introduced. After the calculation, the priority matrix Cp is shown…”
Section: Methodsmentioning
confidence: 99%
“…It can be used as training data for classifiers for fault diagnosis. 31,32 This computer model is modified to a small extent to project the theoretical impact on engine performance. The performance sensitivities can be projected for changes such as loss in modular efficiency.…”
Section: Introductionmentioning
confidence: 99%
“…Network lifetime can be greatly impacted by sending and receiving multimedia data, using advanced network security techniques, and more [6][7][8][9]. Numerous techniques, like clustering and routing protocols, are used [10] to extend the lifetime of networks and maximize energy efficiency. MCDM, combined with entropy and the EWA operator, can improve CH selection in WSNs, contributing to a longer network lifetime.…”
Section: Introductionmentioning
confidence: 99%