{"title":"Enhanced Network Coverage Based on Mobile Sink Management in Wireless sensor network","authors":"Mrinmoy Sen, I. Banerjee, T. Samanta","doi":"10.1145/3154273.3154301","DOIUrl":null,"url":null,"abstract":"In this paper we describe a scheme of using mobile sink(s) in a Wireless Sensor Network (WSN) to recover the energy holes in the network. Information from the regions containing holes does not provide sufficient data to the sink node. Hence data are not analyzed for further actions to be taken accordingly. Firstly, we generate a power map with the estimated Received Signal Strength (RSS), for a given target field, using static sink nodes. A power map is a 3-D plot, where Z-axis denotes the RSS strength in dBm all over the x-y coordinates in the network. An Inverse Distance Weighting (IDW) interpolation method is invoked in the signal power estimation model for both the static and dynamic power map. Secondly, we use mobile sinks to regenerate the power maps to cover the energy holes created with static sinks power maps. Paths of the mobile sinks aim at covering the holes generated by the static power map. We overlap the power maps derived with both static as well as mobile sink nodes (best suited dynamic power map), which show the coverage of energy hole(s) in static power map by the energy peak(s) of dynamic power map. This ensures enhancement in data collection and better coverage of the network.","PeriodicalId":276042,"journal":{"name":"Proceedings of the 19th International Conference on Distributed Computing and Networking","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 19th International Conference on Distributed Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3154273.3154301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we describe a scheme of using mobile sink(s) in a Wireless Sensor Network (WSN) to recover the energy holes in the network. Information from the regions containing holes does not provide sufficient data to the sink node. Hence data are not analyzed for further actions to be taken accordingly. Firstly, we generate a power map with the estimated Received Signal Strength (RSS), for a given target field, using static sink nodes. A power map is a 3-D plot, where Z-axis denotes the RSS strength in dBm all over the x-y coordinates in the network. An Inverse Distance Weighting (IDW) interpolation method is invoked in the signal power estimation model for both the static and dynamic power map. Secondly, we use mobile sinks to regenerate the power maps to cover the energy holes created with static sinks power maps. Paths of the mobile sinks aim at covering the holes generated by the static power map. We overlap the power maps derived with both static as well as mobile sink nodes (best suited dynamic power map), which show the coverage of energy hole(s) in static power map by the energy peak(s) of dynamic power map. This ensures enhancement in data collection and better coverage of the network.