Matches in SemOpenAlex for { <https://semopenalex.org/work/W2938223214> ?p ?o ?g. }
Showing items 1 to 84 of
84
with 100 items per page.
- W2938223214 abstract "Background & Objective: Currently, WSN (Wireless Sensor Networks) provides a variety of services in industrial and commercial applications. WSN consists of nodes that are used to sense the environments like humidity, temperature, pressure, sound, etc. As the use of WSN grows there are some issues like coverage, fault tolerance, a deployment problem, localization, Quality of Service, etc. which needs to be resolved. Sink deployment is a very important problem because it is not the only impact on performance, but also influence on deployment cost. In traditional WSN, a single sink is deployed in the network, which aggregates all the data. Due to this, the whole network is suffering from some serious issues like delay, congestion, network failure that reduces network performance. Methods: One solution is to deploy multiple sinks instead of a single sink. Deploying multiple sinks can improve network performance, but increases sink deployment cost. In this paper, an ISDOA (Improved Sink Deployment Optimization Algorithm) is proposed to find the optimum number of sinks and their optimum location in ROI. Simulation is carried out in Matlab simulator. The impact of sensors and sinks on various network performance parameters like throughput, network lifetime, packet delivery ratio, energy consumption and cost of the network is analyzed. Results & Conclusion: It is shown by simulation results that the number of sinks varies inversely with energy consumption of the nodes; and it is linearly proportional to the network lifetime, throughput and packet delivery ratio. Furthermore, results show that the proposed approach outperforms random deployment with 25% higher throughput, 30% better network lifetime, 15% lesser energy consumption and 21% optimized cost of the network, respectively." @default.
- W2938223214 created "2019-04-25" @default.
- W2938223214 creator A5033280523 @default.
- W2938223214 creator A5079146298 @default.
- W2938223214 date "2020-09-15" @default.
- W2938223214 modified "2023-09-24" @default.
- W2938223214 title "Optimization Based Sink Deployment Technique in WSN to Improve Network Performance" @default.
- W2938223214 cites W1500815681 @default.
- W2938223214 cites W1529754941 @default.
- W2938223214 cites W1989394551 @default.
- W2938223214 cites W2010917722 @default.
- W2938223214 cites W2011742365 @default.
- W2938223214 cites W2034181225 @default.
- W2938223214 cites W2051827545 @default.
- W2938223214 cites W2061288034 @default.
- W2938223214 cites W2074608889 @default.
- W2938223214 cites W2074977940 @default.
- W2938223214 cites W2081628917 @default.
- W2938223214 cites W2083965265 @default.
- W2938223214 cites W2104784137 @default.
- W2938223214 cites W2137359765 @default.
- W2938223214 cites W2149734957 @default.
- W2938223214 cites W2151075043 @default.
- W2938223214 cites W2530123124 @default.
- W2938223214 cites W2746024317 @default.
- W2938223214 doi "https://doi.org/10.2174/2213275912666190410150204" @default.
- W2938223214 hasPublicationYear "2020" @default.
- W2938223214 type Work @default.
- W2938223214 sameAs 2938223214 @default.
- W2938223214 citedByCount "0" @default.
- W2938223214 crossrefType "journal-article" @default.
- W2938223214 hasAuthorship W2938223214A5033280523 @default.
- W2938223214 hasAuthorship W2938223214A5079146298 @default.
- W2938223214 hasConcept C105339364 @default.
- W2938223214 hasConcept C111919701 @default.
- W2938223214 hasConcept C119599485 @default.
- W2938223214 hasConcept C127413603 @default.
- W2938223214 hasConcept C143050476 @default.
- W2938223214 hasConcept C157764524 @default.
- W2938223214 hasConcept C158379750 @default.
- W2938223214 hasConcept C203274722 @default.
- W2938223214 hasConcept C205649164 @default.
- W2938223214 hasConcept C24590314 @default.
- W2938223214 hasConcept C2780165032 @default.
- W2938223214 hasConcept C31258907 @default.
- W2938223214 hasConcept C41008148 @default.
- W2938223214 hasConcept C555944384 @default.
- W2938223214 hasConcept C58640448 @default.
- W2938223214 hasConcept C76155785 @default.
- W2938223214 hasConcept C79403827 @default.
- W2938223214 hasConceptScore W2938223214C105339364 @default.
- W2938223214 hasConceptScore W2938223214C111919701 @default.
- W2938223214 hasConceptScore W2938223214C119599485 @default.
- W2938223214 hasConceptScore W2938223214C127413603 @default.
- W2938223214 hasConceptScore W2938223214C143050476 @default.
- W2938223214 hasConceptScore W2938223214C157764524 @default.
- W2938223214 hasConceptScore W2938223214C158379750 @default.
- W2938223214 hasConceptScore W2938223214C203274722 @default.
- W2938223214 hasConceptScore W2938223214C205649164 @default.
- W2938223214 hasConceptScore W2938223214C24590314 @default.
- W2938223214 hasConceptScore W2938223214C2780165032 @default.
- W2938223214 hasConceptScore W2938223214C31258907 @default.
- W2938223214 hasConceptScore W2938223214C41008148 @default.
- W2938223214 hasConceptScore W2938223214C555944384 @default.
- W2938223214 hasConceptScore W2938223214C58640448 @default.
- W2938223214 hasConceptScore W2938223214C76155785 @default.
- W2938223214 hasConceptScore W2938223214C79403827 @default.
- W2938223214 hasLocation W29382232141 @default.
- W2938223214 hasOpenAccess W2938223214 @default.
- W2938223214 hasPrimaryLocation W29382232141 @default.
- W2938223214 hasRelatedWork W13056824 @default.
- W2938223214 hasRelatedWork W14069176 @default.
- W2938223214 hasRelatedWork W14981395 @default.
- W2938223214 hasRelatedWork W2646853 @default.
- W2938223214 hasRelatedWork W2661084 @default.
- W2938223214 hasRelatedWork W2991865 @default.
- W2938223214 hasRelatedWork W3112392 @default.
- W2938223214 hasRelatedWork W5016201 @default.
- W2938223214 hasRelatedWork W6324689 @default.
- W2938223214 hasRelatedWork W14428826 @default.
- W2938223214 isParatext "false" @default.
- W2938223214 isRetracted "false" @default.
- W2938223214 magId "2938223214" @default.
- W2938223214 workType "article" @default.