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dc.contributor.authorZhou, Chunyue
dc.contributor.authorTian, Hui
dc.contributor.authorDong, Yaocong
dc.contributor.authorZhong, Baitong
dc.description.abstractThe opportunistic network is based on the idea of "Store-Carry-Forward" between nodes which haven't complete communication links. It uses the encounter opportunity presented by node mobility to establish a route to realize communication. The traditional Epidemic algorithm uses the flooding mechanism which greatly increases the energy consumption of nodes, and it is often unable to supplement the energy of nodes at any time in the application environment of the opportunistic network. Therefore, this paper proposes an asynchronous sleep mechanism, which allows nodes to judge whether to enter the sleep state according to their own energy situation, real-time state and other information. It ensures that the nodes do not miss the possible communication opportunities by dynamically controlling the sleep time and wake-up time. The simulation results show that the proposed EASE algorithm can guarantee the network performance and greatly reduce the energy consumption of nodes compared with the classical opportunistic network routing algorithms.en_US
dc.relation.ispartofjournalComputers & Electrical Engineeringen_US
dc.subject.fieldofresearchComputer Softwareen_US
dc.subject.fieldofresearchDistributed Computingen_US
dc.subject.fieldofresearchElectrical and Electronic Engineeringen_US
dc.subject.keywordsScience & Technologyen_US
dc.subject.keywordsComputer Science, Hardware & Architectureen_US
dc.subject.keywordsInterdisciplinary Applicationsen_US
dc.titleAn energy-saving routing algorithm for opportunity networks based on asynchronous sleeping modeen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Articlesen_US
dcterms.bibliographicCitationZhou, C; Tian, H; Dong, Y; Zhong, B, An energy-saving routing algorithm for opportunity networks based on asynchronous sleeping mode, Computers & Electrical Engineering, 2021, 92, pp. 107088en_US
gro.hasfulltextNo Full Text
gro.griffith.authorTian, Hui

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