FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3017247941> ?p ?o ?g. }

• W3017247941 abstract "Internet of things (IoT) is a network of smart things. This indicates the ability of these physical things to transfer information with other physical things. IoT has introduced various services and daily human life depends on its reliable and accessible operation. The characteristics of these networks, such as topology dynamicity and energy constraint, challenges the routing problem in these networks. Previous routing methods could not achieve the required performance in this type of network. Therefore, developers of this network designed and developed specific methods in order to satisfy the requirements of these networks. One of the routing methods is utilization of multi-path protocols which send data to its destination using routs with separate links. One of such protocols is AOMDV routing protocol. AOMDV protocol is a multi-path protocol which uses multiple different paths for sending information in order to maintain the network traffic balance, manage and control node energy, decrease latency, etc. In this paper, this method is improved using gray system theory which chooses the best paths used for separate routes to send packets. To do this, AOMDV packet format is altered and some fields are added to it so that energy criteria, link expiration time, and signal to noise ratio can also be considered while selecting the best route. The proposed method named GSTMPR-IoT is introduced which chooses the routs with highest rank for concurrent transmission of data, using a specific routine based on the gray system theory. In order to evaluate and report the results, the proposed GSTMPR-IoT method is compared to the EECRP and AOMDV approaches with regard to throughput, packet delivery rate, end to end delay, average residual energy, and network lifetime. The results demonstrate the superior performance of the proposed GSTMPR-IoT compared to the EECRP and AOMDV approaches." @default.
• W3017247941 created "2020-04-24" @default.
• W3017247941 creator A5053715265 @default.
• W3017247941 creator A5063579144 @default.
• W3017247941 date "2020-01-26" @default.
• W3017247941 modified "2023-10-01" @default.
• W3017247941 title "A Gray System Theory Based Multi-Path Routing Method for Improving Network Lifetime in Internet of Things Systems" @default.
• W3017247941 cites W2070465743 @default.
• W3017247941 cites W2085469067 @default.
• W3017247941 cites W2111278215 @default.
• W3017247941 cites W2121756848 @default.
• W3017247941 cites W2291476932 @default.
• W3017247941 cites W2341749469 @default.
• W3017247941 cites W2343485024 @default.
• W3017247941 cites W2466437385 @default.
• W3017247941 cites W2484356954 @default.
• W3017247941 cites W2500656219 @default.
• W3017247941 cites W2519106581 @default.
• W3017247941 cites W2557682852 @default.
• W3017247941 cites W2611115284 @default.
• W3017247941 cites W2611984554 @default.
• W3017247941 cites W2618020611 @default.
• W3017247941 cites W2750487218 @default.
• W3017247941 cites W2752415156 @default.
• W3017247941 cites W2754269241 @default.
• W3017247941 cites W2754656706 @default.
• W3017247941 cites W2758137515 @default.
• W3017247941 cites W2758359169 @default.
• W3017247941 cites W2975050769 @default.
• W3017247941 cites W2990880729 @default.
• W3017247941 cites W2998803212 @default.
• W3017247941 cites W3002757309 @default.
• W3017247941 cites W3099870518 @default.
• W3017247941 cites W3100820056 @default.
• W3017247941 cites W3104224871 @default.
• W3017247941 cites W3176810911 @default.
• W3017247941 doi "https://doi.org/10.20944/preprints202001.0304.v1" @default.
• W3017247941 hasPublicationYear "2020" @default.
• W3017247941 type Work @default.
• W3017247941 sameAs 3017247941 @default.
• W3017247941 citedByCount "1" @default.
• W3017247941 countsByYear W30172479412023 @default.
• W3017247941 crossrefType "posted-content" @default.
• W3017247941 hasAuthorship W3017247941A5053715265 @default.
• W3017247941 hasAuthorship W3017247941A5063579144 @default.
• W3017247941 hasBestOaLocation W30172479411 @default.
• W3017247941 hasConcept C104954878 @default.
• W3017247941 hasConcept C120314980 @default.
• W3017247941 hasConcept C158379750 @default.
• W3017247941 hasConcept C31258907 @default.
• W3017247941 hasConcept C41008148 @default.
• W3017247941 hasConceptScore W3017247941C104954878 @default.
• W3017247941 hasConceptScore W3017247941C120314980 @default.
• W3017247941 hasConceptScore W3017247941C158379750 @default.
• W3017247941 hasConceptScore W3017247941C31258907 @default.
• W3017247941 hasConceptScore W3017247941C41008148 @default.
• W3017247941 hasLocation W30172479411 @default.
• W3017247941 hasOpenAccess W3017247941 @default.
• W3017247941 hasPrimaryLocation W30172479411 @default.
• W3017247941 hasRelatedWork W1994968148 @default.
• W3017247941 hasRelatedWork W1998340704 @default.
• W3017247941 hasRelatedWork W2232133971 @default.
• W3017247941 hasRelatedWork W2337065109 @default.
• W3017247941 hasRelatedWork W2539566230 @default.
• W3017247941 hasRelatedWork W2572729042 @default.
• W3017247941 hasRelatedWork W2799203252 @default.
• W3017247941 hasRelatedWork W2984935864 @default.
• W3017247941 hasRelatedWork W4235956293 @default.
• W3017247941 hasRelatedWork W4385871963 @default.
• W3017247941 isParatext "false" @default.
• W3017247941 isRetracted "false" @default.
• W3017247941 magId "3017247941" @default.
• W3017247941 workType "article" @default.