A hybrid approach for the optimization of quality of service metrics of WSN
The core objective behind this research paper is to implement a hybrid optimization technique along with proactive routing algorithm to enhance the network lifetime of wireless sensor networks (WSN). The combination of two soft computing techniques viz. genetic algorithm (GA) and bacteria foraging o...
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| Veröffentlicht in: | Wireless networks 2020, Vol.26 (1), p.621-638 |
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| container_title | Wireless networks |
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| creator | Rani, Shalli Balasaraswathi, M. Reddy, P. Chandra Sekhar Brar, Gurbinder Singh Sivaram, M. Dhasarathan, Vigneswaran |
| description | The core objective behind this research paper is to implement a hybrid optimization technique along with proactive routing algorithm to enhance the network lifetime of wireless sensor networks (WSN). The combination of two soft computing techniques viz. genetic algorithm (GA) and bacteria foraging optimization (BFO) techniques are applied individually on destination sequence distance vector (DSDV) routing protocol and after that the hybridization of GA and BFO is applied on the same routing protocol. The various simulation parameters used in the research are: throughput, end to end delay, congestion, packet delivery ratio, bit error rate and routing overhead. The bits are processed at a data rate of 512 bytes/s. The packet size for data transmission is 100 bytes. The data transmission time taken by the packets is 200 s i.e. the simulation time for each simulation scenario. Network is composed of 60 nodes. Simulation results clearly demonstrates that the hybrid approach along with DSDV outperforms over ordinary DSDV routing protocol and it is best suitable under smaller size of WSN. |
| doi_str_mv | 10.1007/s11276-019-02170-9 |
| format | Article |
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Chandra Sekhar ; Brar, Gurbinder Singh ; Sivaram, M. ; Dhasarathan, Vigneswaran</creator><creatorcontrib>Rani, Shalli ; Balasaraswathi, M. ; Reddy, P. Chandra Sekhar ; Brar, Gurbinder Singh ; Sivaram, M. ; Dhasarathan, Vigneswaran</creatorcontrib><description>The core objective behind this research paper is to implement a hybrid optimization technique along with proactive routing algorithm to enhance the network lifetime of wireless sensor networks (WSN). The combination of two soft computing techniques viz. genetic algorithm (GA) and bacteria foraging optimization (BFO) techniques are applied individually on destination sequence distance vector (DSDV) routing protocol and after that the hybridization of GA and BFO is applied on the same routing protocol. The various simulation parameters used in the research are: throughput, end to end delay, congestion, packet delivery ratio, bit error rate and routing overhead. The bits are processed at a data rate of 512 bytes/s. The packet size for data transmission is 100 bytes. The data transmission time taken by the packets is 200 s i.e. the simulation time for each simulation scenario. Network is composed of 60 nodes. Simulation results clearly demonstrates that the hybrid approach along with DSDV outperforms over ordinary DSDV routing protocol and it is best suitable under smaller size of WSN.</description><identifier>ISSN: 1022-0038</identifier><identifier>EISSN: 1572-8196</identifier><identifier>DOI: 10.1007/s11276-019-02170-9</identifier><language>eng</language><publisher>New York: Springer US</publisher><subject>Bit error rate ; Communications Engineering ; Computer Communication Networks ; Computer simulation ; Data transmission ; Electrical Engineering ; Engineering ; Genetic algorithms ; IT in Business ; Networks ; Optimization ; Optimization techniques ; Quality of service ; Remote sensors ; Scientific papers ; Simulation ; Soft computing ; Wireless networks</subject><ispartof>Wireless networks, 2020, Vol.26 (1), p.621-638</ispartof><rights>Springer Science+Business Media, LLC, part of Springer Nature 2019</rights><rights>Wireless Networks is a copyright of Springer, (2019). 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The various simulation parameters used in the research are: throughput, end to end delay, congestion, packet delivery ratio, bit error rate and routing overhead. The bits are processed at a data rate of 512 bytes/s. The packet size for data transmission is 100 bytes. The data transmission time taken by the packets is 200 s i.e. the simulation time for each simulation scenario. Network is composed of 60 nodes. Simulation results clearly demonstrates that the hybrid approach along with DSDV outperforms over ordinary DSDV routing protocol and it is best suitable under smaller size of WSN.</description><subject>Bit error rate</subject><subject>Communications Engineering</subject><subject>Computer Communication Networks</subject><subject>Computer simulation</subject><subject>Data transmission</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Genetic algorithms</subject><subject>IT in Business</subject><subject>Networks</subject><subject>Optimization</subject><subject>Optimization techniques</subject><subject>Quality of service</subject><subject>Remote sensors</subject><subject>Scientific papers</subject><subject>Simulation</subject><subject>Soft computing</subject><subject>Wireless networks</subject><issn>1022-0038</issn><issn>1572-8196</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kEtLAzEUhYMoWKt_wFXAdfTmMclkWYovLLpQcRmSNLEpbWdMpkL99U4dwZ2re7icc-7lQ-icwiUFUFeFUqYkAaoJMKqA6AM0opVipKZaHvYaGCMAvD5GJ6UsAaDmWo_QwwQvdi6nObZtmxvrFzg2GXeLgJu2S-v0ZbvUbHAT8cfWrlK328sS8mfyAa9Dl5Mv-9Xb8-MpOop2VcLZ7xyj15vrl-kdmT3d3k8nM-I51R2JHqCqmdSV5cHWynsI0WrphZABnJhLQTl47yrnnGBSRKdFrZ2NlZpDYHyMLobe_uGPbSidWTbbvOlPGsYF51pJpXoXG1w-N6XkEE2b09rmnaFg9tDMAM300MwPNKP7EB9CpTdv3kP-q_4n9Q1MYW8o</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Rani, Shalli</creator><creator>Balasaraswathi, M.</creator><creator>Reddy, P. 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The combination of two soft computing techniques viz. genetic algorithm (GA) and bacteria foraging optimization (BFO) techniques are applied individually on destination sequence distance vector (DSDV) routing protocol and after that the hybridization of GA and BFO is applied on the same routing protocol. The various simulation parameters used in the research are: throughput, end to end delay, congestion, packet delivery ratio, bit error rate and routing overhead. The bits are processed at a data rate of 512 bytes/s. The packet size for data transmission is 100 bytes. The data transmission time taken by the packets is 200 s i.e. the simulation time for each simulation scenario. Network is composed of 60 nodes. 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| subjects | Bit error rate Communications Engineering Computer Communication Networks Computer simulation Data transmission Electrical Engineering Engineering Genetic algorithms IT in Business Networks Optimization Optimization techniques Quality of service Remote sensors Scientific papers Simulation Soft computing Wireless networks |
| title | A hybrid approach for the optimization of quality of service metrics of WSN |
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