A modified rider optimization algorithm for multihop routing in WSN
Wireless Sensor Networks (WSNs) have an important role in establishing the communication between the Internet of things (IoT) devices. Routing is an important research field in the WSN as it helps in finding the suitable paths for the communication. This paper proposes a multipath routing algorithm...
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| Veröffentlicht in: | International journal of numerical modelling 2020-11, Vol.33 (6), p.n/a |
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| creator | Augustine, Susan Ananth, J.P. |
| description | Wireless Sensor Networks (WSNs) have an important role in establishing the communication between the Internet of things (IoT) devices. Routing is an important research field in the WSN as it helps in finding the suitable paths for the communication. This paper proposes a multipath routing algorithm based on the optimization approach. The proposed routing algorithm has two important phases, namely, Cluster head selection and multipath routing. Initially, the cluster head selection is carried out by the kernel based Fuzzy C Means (kernel FCM) algorithm. Then, the multipath routing is established by the newly developed Rider Salp Swarm Optimization algorithm (RSSA), which is the integration of the Rider Optimization Algorithm (ROA) and Salp Swarm Algorithm (SSA). The fitness function of the proposed RSSA is designed by considering the several factors, such as energy, QoS and trust. The simulation of the proposed work is carried out using different WSN setups, and the results are compared with several comparative techniques. From the results, it can be summarized that the proposed RSSA based multipath routing has better performance with values of 0.2526, 0.0764, 0.5, and 26 for delay, energy, throughput and number of alive nodes, respectively. |
| doi_str_mv | 10.1002/jnm.2764 |
| format | Article |
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Routing is an important research field in the WSN as it helps in finding the suitable paths for the communication. This paper proposes a multipath routing algorithm based on the optimization approach. The proposed routing algorithm has two important phases, namely, Cluster head selection and multipath routing. Initially, the cluster head selection is carried out by the kernel based Fuzzy C Means (kernel FCM) algorithm. Then, the multipath routing is established by the newly developed Rider Salp Swarm Optimization algorithm (RSSA), which is the integration of the Rider Optimization Algorithm (ROA) and Salp Swarm Algorithm (SSA). The fitness function of the proposed RSSA is designed by considering the several factors, such as energy, QoS and trust. The simulation of the proposed work is carried out using different WSN setups, and the results are compared with several comparative techniques. From the results, it can be summarized that the proposed RSSA based multipath routing has better performance with values of 0.2526, 0.0764, 0.5, and 26 for delay, energy, throughput and number of alive nodes, respectively.</description><identifier>ISSN: 0894-3370</identifier><identifier>EISSN: 1099-1204</identifier><identifier>DOI: 10.1002/jnm.2764</identifier><language>eng</language><publisher>Chichester, UK: John Wiley & Sons, Inc</publisher><subject>Algorithms ; cluster head selection ; Clusters ; Internet of Things ; kernel based FCM algorithm ; Kernels ; multipath routing ; Optimization ; Optimization algorithms ; rider optimization algorithm ; Wireless sensor networks</subject><ispartof>International journal of numerical modelling, 2020-11, Vol.33 (6), p.n/a</ispartof><rights>2020 John Wiley & Sons, Ltd</rights><rights>2020 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2084-fc912309a3e5475564f5993dc9063e8623b8f22c2898bedc654555a9484345503</citedby><cites>FETCH-LOGICAL-c2084-fc912309a3e5475564f5993dc9063e8623b8f22c2898bedc654555a9484345503</cites><orcidid>0000-0002-8393-4110</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjnm.2764$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjnm.2764$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27901,27902,45550,45551</link.rule.ids></links><search><creatorcontrib>Augustine, Susan</creatorcontrib><creatorcontrib>Ananth, J.P.</creatorcontrib><title>A modified rider optimization algorithm for multihop routing in WSN</title><title>International journal of numerical modelling</title><description>Wireless Sensor Networks (WSNs) have an important role in establishing the communication between the Internet of things (IoT) devices. Routing is an important research field in the WSN as it helps in finding the suitable paths for the communication. This paper proposes a multipath routing algorithm based on the optimization approach. The proposed routing algorithm has two important phases, namely, Cluster head selection and multipath routing. Initially, the cluster head selection is carried out by the kernel based Fuzzy C Means (kernel FCM) algorithm. Then, the multipath routing is established by the newly developed Rider Salp Swarm Optimization algorithm (RSSA), which is the integration of the Rider Optimization Algorithm (ROA) and Salp Swarm Algorithm (SSA). The fitness function of the proposed RSSA is designed by considering the several factors, such as energy, QoS and trust. The simulation of the proposed work is carried out using different WSN setups, and the results are compared with several comparative techniques. From the results, it can be summarized that the proposed RSSA based multipath routing has better performance with values of 0.2526, 0.0764, 0.5, and 26 for delay, energy, throughput and number of alive nodes, respectively.</description><subject>Algorithms</subject><subject>cluster head selection</subject><subject>Clusters</subject><subject>Internet of Things</subject><subject>kernel based FCM algorithm</subject><subject>Kernels</subject><subject>multipath routing</subject><subject>Optimization</subject><subject>Optimization algorithms</subject><subject>rider optimization algorithm</subject><subject>Wireless sensor networks</subject><issn>0894-3370</issn><issn>1099-1204</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNp10D1PwzAQgGELgUQoSPwESywsKeevxB6rik-VMgBitNLEbh0lcXASofLrSQkr093w6E56EbokMCcA9KZs6jlNE36EIgJKxYQCP0YRSMVjxlI4RWddVwIAI4JGaLnAtS-cdabAwRUmYN_2rnbfWe98g7Nq64PrdzW2PuB6qHq38y0Ofuhds8WuwR-v63N0YrOqMxd_c4be727flg_x6uX-cblYxTkFyWObK0IZqIwZwVMhEm6FUqzIFSTMyISyjbSU5lQquTFFngguhMgUl5yNG7AZuprutsF_DqbrdemH0IwvNeUCUkohIaO6nlQefNcFY3UbXJ2FvSagD4n0mEgfEo00nuiXq8z-X6ef1s-__geIU2VX</recordid><startdate>202011</startdate><enddate>202011</enddate><creator>Augustine, Susan</creator><creator>Ananth, J.P.</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7TB</scope><scope>8FD</scope><scope>FR3</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0002-8393-4110</orcidid></search><sort><creationdate>202011</creationdate><title>A modified rider optimization algorithm for multihop routing in WSN</title><author>Augustine, Susan ; Ananth, J.P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2084-fc912309a3e5475564f5993dc9063e8623b8f22c2898bedc654555a9484345503</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>cluster head selection</topic><topic>Clusters</topic><topic>Internet of Things</topic><topic>kernel based FCM algorithm</topic><topic>Kernels</topic><topic>multipath routing</topic><topic>Optimization</topic><topic>Optimization algorithms</topic><topic>rider optimization algorithm</topic><topic>Wireless sensor networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Augustine, Susan</creatorcontrib><creatorcontrib>Ananth, J.P.</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>International journal of numerical modelling</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Augustine, Susan</au><au>Ananth, J.P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A modified rider optimization algorithm for multihop routing in WSN</atitle><jtitle>International journal of numerical modelling</jtitle><date>2020-11</date><risdate>2020</risdate><volume>33</volume><issue>6</issue><epage>n/a</epage><issn>0894-3370</issn><eissn>1099-1204</eissn><abstract>Wireless Sensor Networks (WSNs) have an important role in establishing the communication between the Internet of things (IoT) devices. Routing is an important research field in the WSN as it helps in finding the suitable paths for the communication. This paper proposes a multipath routing algorithm based on the optimization approach. The proposed routing algorithm has two important phases, namely, Cluster head selection and multipath routing. Initially, the cluster head selection is carried out by the kernel based Fuzzy C Means (kernel FCM) algorithm. Then, the multipath routing is established by the newly developed Rider Salp Swarm Optimization algorithm (RSSA), which is the integration of the Rider Optimization Algorithm (ROA) and Salp Swarm Algorithm (SSA). The fitness function of the proposed RSSA is designed by considering the several factors, such as energy, QoS and trust. The simulation of the proposed work is carried out using different WSN setups, and the results are compared with several comparative techniques. From the results, it can be summarized that the proposed RSSA based multipath routing has better performance with values of 0.2526, 0.0764, 0.5, and 26 for delay, energy, throughput and number of alive nodes, respectively.</abstract><cop>Chichester, UK</cop><pub>John Wiley & Sons, Inc</pub><doi>10.1002/jnm.2764</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-8393-4110</orcidid></addata></record> |
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| source | Wiley Online Library Journals Frontfile Complete |
| subjects | Algorithms cluster head selection Clusters Internet of Things kernel based FCM algorithm Kernels multipath routing Optimization Optimization algorithms rider optimization algorithm Wireless sensor networks |
| title | A modified rider optimization algorithm for multihop routing in WSN |
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