{"title":"A survey on node discovery in Mobile Internet of Things(IoT) scenarios","authors":"M. Valarmathi, L. Sumathi, G. Deepika","doi":"10.1109/ICACCS.2016.7586400","DOIUrl":null,"url":null,"abstract":"Internet of Things (IoT) paradigm is gaining immense importance in today's world of rapid connectivity. Mobile IoT scenario like Smart City is characterized by short and recurrent contact between IoT devices. The existence of contacts between the mobile and infrastructure devices is an enabler for nodes to discover their neighbors to relay data. A recent chapter in research aims at learning the mobility pattern of devices to improve efficiency of discovery. In this paper, various techniques that are available for neighbor discovery are discussed and it is shown that knowledge integration in the process of node discovery leads to efficient scheduling of resources.","PeriodicalId":176803,"journal":{"name":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","volume":"01 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 3rd International Conference on Advanced Computing and Communication Systems (ICACCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACCS.2016.7586400","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11
Abstract
Internet of Things (IoT) paradigm is gaining immense importance in today's world of rapid connectivity. Mobile IoT scenario like Smart City is characterized by short and recurrent contact between IoT devices. The existence of contacts between the mobile and infrastructure devices is an enabler for nodes to discover their neighbors to relay data. A recent chapter in research aims at learning the mobility pattern of devices to improve efficiency of discovery. In this paper, various techniques that are available for neighbor discovery are discussed and it is shown that knowledge integration in the process of node discovery leads to efficient scheduling of resources.