Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386897039> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4386897039 endingPage "142" @default.
- W4386897039 startingPage "129" @default.
- W4386897039 abstract "Wireless sensor networks (WSNs), deployed in the area of interest to gather data unattended, comprise numerous tiny, ponderous, and battery-operated sensor nodes (SNs). Numerous research publications presented strategies for extending the lifespan and performance of wireless sensor networks because SNs lifetime depends on limited battery life. One strategy for enhancing the performance of wireless sensor networks is to deploy an energy-rich sink capable of mobility to gather data sensed by stationary SNs. Therefore, several mobility models (MMs) were suggested. The primary objective of this investigation is to compare the effectiveness of wireless sensor networks using two MMs for mobile sinks (MSs): Kohonen’s self-organizing map-based model and the genetic algorithm-based model, in order to find the most suitable conditions under which each one of them can be used. As a result, network performance is investigated using the NS-2 simulator under various scenarios and MS speeds. Additionally, throughput, packet delivery ratio (PDR), and end-to-end (E2E) delay are the metrics used to analyze performance. Finally, messages are forwarded from their sources to the MS using the AODV routing protocol. The results show that the Kohonen-based model is suitable for small networks with moderate speeds of the mobile sink. On the other hand, the genetic algorithm-based model is suitable to be used with medium-sized networks with low speeds of the mobile sink." @default.
- W4386897039 created "2023-09-21" @default.
- W4386897039 creator A5011909541 @default.
- W4386897039 creator A5018588641 @default.
- W4386897039 creator A5023331755 @default.
- W4386897039 date "2023-09-20" @default.
- W4386897039 modified "2023-09-27" @default.
- W4386897039 title "Performance Analysis of Sink Mobility Models for Wireless Sensor Networks: A Comparative Study" @default.
- W4386897039 doi "https://doi.org/10.3991/ijim.v17i18.42121" @default.
- W4386897039 hasPublicationYear "2023" @default.
- W4386897039 type Work @default.
- W4386897039 citedByCount "0" @default.
- W4386897039 crossrefType "journal-article" @default.
- W4386897039 hasAuthorship W4386897039A5011909541 @default.
- W4386897039 hasAuthorship W4386897039A5018588641 @default.
- W4386897039 hasAuthorship W4386897039A5023331755 @default.
- W4386897039 hasBestOaLocation W43868970391 @default.
- W4386897039 hasConcept C104503742 @default.
- W4386897039 hasConcept C104954878 @default.
- W4386897039 hasConcept C108037233 @default.
- W4386897039 hasConcept C143050476 @default.
- W4386897039 hasConcept C157764524 @default.
- W4386897039 hasConcept C158379750 @default.
- W4386897039 hasConcept C191485582 @default.
- W4386897039 hasConcept C205649164 @default.
- W4386897039 hasConcept C24590314 @default.
- W4386897039 hasConcept C31258907 @default.
- W4386897039 hasConcept C41008148 @default.
- W4386897039 hasConcept C41971633 @default.
- W4386897039 hasConcept C47318570 @default.
- W4386897039 hasConcept C555944384 @default.
- W4386897039 hasConcept C58640448 @default.
- W4386897039 hasConcept C7091991 @default.
- W4386897039 hasConcept C76155785 @default.
- W4386897039 hasConcept C79403827 @default.
- W4386897039 hasConceptScore W4386897039C104503742 @default.
- W4386897039 hasConceptScore W4386897039C104954878 @default.
- W4386897039 hasConceptScore W4386897039C108037233 @default.
- W4386897039 hasConceptScore W4386897039C143050476 @default.
- W4386897039 hasConceptScore W4386897039C157764524 @default.
- W4386897039 hasConceptScore W4386897039C158379750 @default.
- W4386897039 hasConceptScore W4386897039C191485582 @default.
- W4386897039 hasConceptScore W4386897039C205649164 @default.
- W4386897039 hasConceptScore W4386897039C24590314 @default.
- W4386897039 hasConceptScore W4386897039C31258907 @default.
- W4386897039 hasConceptScore W4386897039C41008148 @default.
- W4386897039 hasConceptScore W4386897039C41971633 @default.
- W4386897039 hasConceptScore W4386897039C47318570 @default.
- W4386897039 hasConceptScore W4386897039C555944384 @default.
- W4386897039 hasConceptScore W4386897039C58640448 @default.
- W4386897039 hasConceptScore W4386897039C7091991 @default.
- W4386897039 hasConceptScore W4386897039C76155785 @default.
- W4386897039 hasConceptScore W4386897039C79403827 @default.
- W4386897039 hasIssue "18" @default.
- W4386897039 hasLocation W43868970391 @default.
- W4386897039 hasOpenAccess W4386897039 @default.
- W4386897039 hasPrimaryLocation W43868970391 @default.
- W4386897039 hasRelatedWork W1554231480 @default.
- W4386897039 hasRelatedWork W1996312914 @default.
- W4386897039 hasRelatedWork W2052027115 @default.
- W4386897039 hasRelatedWork W2078600672 @default.
- W4386897039 hasRelatedWork W2119285602 @default.
- W4386897039 hasRelatedWork W2152682097 @default.
- W4386897039 hasRelatedWork W2187969997 @default.
- W4386897039 hasRelatedWork W2257298778 @default.
- W4386897039 hasRelatedWork W2602139996 @default.
- W4386897039 hasRelatedWork W3011686081 @default.
- W4386897039 hasVolume "17" @default.
- W4386897039 isParatext "false" @default.
- W4386897039 isRetracted "false" @default.
- W4386897039 workType "article" @default.