{"title":"Performance Evaluation of RPL Routing Protocol for Low Power Lossy Networks for IoT Environment","authors":"Aashima Bisen, J. Matthew","doi":"10.1109/ICCSDET.2018.8821163","DOIUrl":null,"url":null,"abstract":"Wireless Sensor Networks (WSNs) comprise of small electronic devices that are autonomous which are capable of sensing natural environmental conditions and communicating with the nodes over wireless links. WSNs have applications in different fields of technology and science, which is quite diverse and commonly exist in remote regions with severe conditions. This influences testing and troubleshooting of these applications a tedious task, exorbitant and once in a while even unthinkable for developers. Wireless Network lifetime is the most widely researched area.Numerous components are considered for increasing the lifetime of wireless sensor systems, for example, limiting the power utilization, minimal cost operation, optimal routing protocols, sending of remaining energy to each hub to dodge the contracting of energy in hubs, with the assistance of enhanced adaptation of communication models and more improved version of protocol.In this paper we have proposed a system that calculates the lifetime of sensor nodes dynamically by using the various metrics i.e. Radio Duty Cycle, No of hops (per node) and Power Consumption. To implement the above scenario Routing Protocol for Low power Lossy networks (RPL) is used. RPL is a distance vector protocol that constructs a Destination-Oriented Directed Acyclic Graph (DODAG) using one or more routing metrics. Direct Acyclic Graph is build using the metrics and transmission of data is done based on the lifetime of nodes in order to increase the lifetime of the network. Further mobility is added, and we can compare the mobile nodes with fixed nodes in order to show how mobility can influence parameters of protocol. The simulation of the proposed work is done using the Cooja simulator in Contiki OS.","PeriodicalId":157362,"journal":{"name":"2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 International Conference on Circuits and Systems in Digital Enterprise Technology (ICCSDET)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSDET.2018.8821163","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
Wireless Sensor Networks (WSNs) comprise of small electronic devices that are autonomous which are capable of sensing natural environmental conditions and communicating with the nodes over wireless links. WSNs have applications in different fields of technology and science, which is quite diverse and commonly exist in remote regions with severe conditions. This influences testing and troubleshooting of these applications a tedious task, exorbitant and once in a while even unthinkable for developers. Wireless Network lifetime is the most widely researched area.Numerous components are considered for increasing the lifetime of wireless sensor systems, for example, limiting the power utilization, minimal cost operation, optimal routing protocols, sending of remaining energy to each hub to dodge the contracting of energy in hubs, with the assistance of enhanced adaptation of communication models and more improved version of protocol.In this paper we have proposed a system that calculates the lifetime of sensor nodes dynamically by using the various metrics i.e. Radio Duty Cycle, No of hops (per node) and Power Consumption. To implement the above scenario Routing Protocol for Low power Lossy networks (RPL) is used. RPL is a distance vector protocol that constructs a Destination-Oriented Directed Acyclic Graph (DODAG) using one or more routing metrics. Direct Acyclic Graph is build using the metrics and transmission of data is done based on the lifetime of nodes in order to increase the lifetime of the network. Further mobility is added, and we can compare the mobile nodes with fixed nodes in order to show how mobility can influence parameters of protocol. The simulation of the proposed work is done using the Cooja simulator in Contiki OS.