FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3095876670> ?p ?o ?g. }

• W3095876670 endingPage "200" @default.
• W3095876670 startingPage "188" @default.
• W3095876670 abstract "The limited power source of sensors is the main constraint of Wireless Sensor Networks (WSNs); therefore, some energy management techniques are required. Network coding and topology control techniques have received extensive attention to decrease energy consumption and improve network performance. Although, combining these two techniques in WSNs can reduce energy consumption efficiently, their main drawback is the computation time, which grows exponentially by increasing nodes; this is not a convenient case for large-scale networks. In this paper, we utilize clustering method as a well-known topology control technique to overcome the mentioned drawback. The initial probability of cluster head selection is critical in distributed clustering algorithms. The results show that finding an appropriate probability provides a robust and fast alternative for the optimization approaches that are sensitive to the initial guess. Hence, we determine a near-optimal probability for cluster head selection to reach the maximum efficiency in the energy consumption. This probability is specified in terms of the number of nodes in the network and the distance of each node from its nearest neighbor provided that the neighbor lies within an angle of the source–destination axis. Our clustering method is based on learning automata and a sleep–awake mechanism to improve results. Accordingly, a routing algorithm along with an optimization problem is developed, which is called inter cluster subgraph selection. Simulation results show that the proposed approach is suitable for large-scale WSNs. Moreover, we demonstrate that the performance of the proposed approach, in terms of energy consumption and network lifetime, is more beneficial as compared to some existing algorithms." @default.
• W3095876670 created "2020-11-09" @default.
• W3095876670 creator A5032967106 @default.
• W3095876670 creator A5062301410 @default.
• W3095876670 date "2020-12-01" @default.
• W3095876670 modified "2023-10-18" @default.
• W3095876670 title "An energy efficient cluster head selection approach for performance improvement in network-coding-based wireless sensor networks with multiple sinks" @default.
• W3095876670 cites W1831523983 @default.
• W3095876670 cites W1966877896 @default.
• W3095876670 cites W1970733942 @default.
• W3095876670 cites W1999179343 @default.
• W3095876670 cites W2008979299 @default.
• W3095876670 cites W2014881013 @default.
• W3095876670 cites W2049475540 @default.
• W3095876670 cites W2059981773 @default.
• W3095876670 cites W2081836443 @default.
• W3095876670 cites W2121214005 @default.
• W3095876670 cites W2138373774 @default.
• W3095876670 cites W2138928022 @default.
• W3095876670 cites W2149863032 @default.
• W3095876670 cites W2151122105 @default.
• W3095876670 cites W2152180923 @default.
• W3095876670 cites W2476510588 @default.
• W3095876670 cites W2568242273 @default.
• W3095876670 cites W2580831345 @default.
• W3095876670 cites W2611276623 @default.
• W3095876670 cites W2809760595 @default.
• W3095876670 cites W2889506748 @default.
• W3095876670 cites W2953953557 @default.
• W3095876670 cites W2961785277 @default.
• W3095876670 cites W384323592 @default.
• W3095876670 cites W634497394 @default.
• W3095876670 doi "https://doi.org/10.1016/j.comcom.2020.10.014" @default.
• W3095876670 hasPublicationYear "2020" @default.
• W3095876670 type Work @default.
• W3095876670 sameAs 3095876670 @default.
• W3095876670 citedByCount "14" @default.
• W3095876670 countsByYear W30958766702020 @default.
• W3095876670 countsByYear W30958766702021 @default.
• W3095876670 countsByYear W30958766702022 @default.
• W3095876670 countsByYear W30958766702023 @default.
• W3095876670 crossrefType "journal-article" @default.
• W3095876670 hasAuthorship W3095876670A5032967106 @default.
• W3095876670 hasAuthorship W3095876670A5062301410 @default.
• W3095876670 hasConcept C108037233 @default.
• W3095876670 hasConcept C119599485 @default.
• W3095876670 hasConcept C120314980 @default.
• W3095876670 hasConcept C127413603 @default.
• W3095876670 hasConcept C154945302 @default.
• W3095876670 hasConcept C18903297 @default.
• W3095876670 hasConcept C199845137 @default.
• W3095876670 hasConcept C24590314 @default.
• W3095876670 hasConcept C2742236 @default.
• W3095876670 hasConcept C2778034918 @default.
• W3095876670 hasConcept C2780165032 @default.
• W3095876670 hasConcept C31258907 @default.
• W3095876670 hasConcept C41008148 @default.
• W3095876670 hasConcept C41971633 @default.
• W3095876670 hasConcept C555944384 @default.
• W3095876670 hasConcept C73555534 @default.
• W3095876670 hasConcept C76155785 @default.
• W3095876670 hasConcept C86803240 @default.
• W3095876670 hasConceptScore W3095876670C108037233 @default.
• W3095876670 hasConceptScore W3095876670C119599485 @default.
• W3095876670 hasConceptScore W3095876670C120314980 @default.
• W3095876670 hasConceptScore W3095876670C127413603 @default.
• W3095876670 hasConceptScore W3095876670C154945302 @default.
• W3095876670 hasConceptScore W3095876670C18903297 @default.
• W3095876670 hasConceptScore W3095876670C199845137 @default.
• W3095876670 hasConceptScore W3095876670C24590314 @default.
• W3095876670 hasConceptScore W3095876670C2742236 @default.
• W3095876670 hasConceptScore W3095876670C2778034918 @default.
• W3095876670 hasConceptScore W3095876670C2780165032 @default.
• W3095876670 hasConceptScore W3095876670C31258907 @default.
• W3095876670 hasConceptScore W3095876670C41008148 @default.
• W3095876670 hasConceptScore W3095876670C41971633 @default.
• W3095876670 hasConceptScore W3095876670C555944384 @default.
• W3095876670 hasConceptScore W3095876670C73555534 @default.
• W3095876670 hasConceptScore W3095876670C76155785 @default.
• W3095876670 hasConceptScore W3095876670C86803240 @default.
• W3095876670 hasFunder F4320323435 @default.
• W3095876670 hasLocation W30958766701 @default.
• W3095876670 hasOpenAccess W3095876670 @default.
• W3095876670 hasPrimaryLocation W30958766701 @default.
• W3095876670 hasRelatedWork W1537044748 @default.
• W3095876670 hasRelatedWork W1988416467 @default.
• W3095876670 hasRelatedWork W2003662209 @default.
• W3095876670 hasRelatedWork W2108681019 @default.
• W3095876670 hasRelatedWork W2142809861 @default.
• W3095876670 hasRelatedWork W2523449796 @default.
• W3095876670 hasRelatedWork W26229282 @default.
• W3095876670 hasRelatedWork W3119417306 @default.
• W3095876670 hasRelatedWork W3122825514 @default.
• W3095876670 hasRelatedWork W4236024500 @default.
• W3095876670 hasVolume "164" @default.
• W3095876670 isParatext "false" @default.
• W3095876670 isRetracted "false" @default.
• W3095876670 magId "3095876670" @default.

• next