{"title":"Improved Performance of Mobility Aware Energy Efficient Congestion Control in Mobile Wireless Sensor Networks by LEACH-1R","authors":"Khushbu, A. Khunteta","doi":"10.1109/CICN.2016.27","DOIUrl":null,"url":null,"abstract":"In this document, a protocol LEACH-1R meant for energy efficient & mobility aware congestion control is provided for MWSN. A LEACH-1R that transforms the LEACH by making use of first clustering round & performing the inter-cluster choosing of new CHs (cluster head) rather than aggregated reclustering. A MWSN is termed as a set of wireless mobile nodes & base station that generates an ad-hoc network. Such network can be implemented over several kinds of fields, like underground & underwater. Each node is provided with a particular amount of energy & randomized mobilization. As the absorption of energy is considered to be a cardinal aspect, the protocols of Hierarchal type are able to cope up with this issue, as an illustration, LEACH protocol. LEACH-1R is considered to be an extension to LEACH protocol that improvise the lifetime of a network but the protocol also makes use of location of sensors for organization of network. Hence, it is not considered to be much effective in that field where node localization with the mobility is not possible. In this document, we tend to improvise the traditional algorithm for generating a latest protocol that is termed as LEACH-1R Decentralized for enhancing the lifetime of a network with applying the maps. Further, this protocol is put in contrast to the SMAC & TSEEC for the lifetime of network & dissipation of energy by making use of network simulator. In this experimentation, we tend to enhance the performance of packet delivery ration for a 50 MSN having 2 cluster & 100 MSN comprising 3 cluster.","PeriodicalId":189849,"journal":{"name":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 8th International Conference on Computational Intelligence and Communication Networks (CICN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CICN.2016.27","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
Abstract
In this document, a protocol LEACH-1R meant for energy efficient & mobility aware congestion control is provided for MWSN. A LEACH-1R that transforms the LEACH by making use of first clustering round & performing the inter-cluster choosing of new CHs (cluster head) rather than aggregated reclustering. A MWSN is termed as a set of wireless mobile nodes & base station that generates an ad-hoc network. Such network can be implemented over several kinds of fields, like underground & underwater. Each node is provided with a particular amount of energy & randomized mobilization. As the absorption of energy is considered to be a cardinal aspect, the protocols of Hierarchal type are able to cope up with this issue, as an illustration, LEACH protocol. LEACH-1R is considered to be an extension to LEACH protocol that improvise the lifetime of a network but the protocol also makes use of location of sensors for organization of network. Hence, it is not considered to be much effective in that field where node localization with the mobility is not possible. In this document, we tend to improvise the traditional algorithm for generating a latest protocol that is termed as LEACH-1R Decentralized for enhancing the lifetime of a network with applying the maps. Further, this protocol is put in contrast to the SMAC & TSEEC for the lifetime of network & dissipation of energy by making use of network simulator. In this experimentation, we tend to enhance the performance of packet delivery ration for a 50 MSN having 2 cluster & 100 MSN comprising 3 cluster.