Tao Yang, L. Barolli, Gjergji Mino, F. Xhafa, A. Durresi
{"title":"Impact of Mobile Event Movement on the Performance of Wireless Sensor Networks","authors":"Tao Yang, L. Barolli, Gjergji Mino, F. Xhafa, A. Durresi","doi":"10.1109/ICSNC.2010.19","DOIUrl":null,"url":null,"abstract":"In this paper, we investigate how the sensor network performs in the case when the event moves with special movement path. We compare the simulation results for four scenarios: when the event is stationary, moving randomly, moving with simple 4 path and boids path. The simulation results have shown that for the case when event is moving randomly the performance is the worst in the four scenarios. The characteristic of goodput decreases with the increase of number of sensor nodes. In the case of boids model, the gooput is unstable when the Tr is lower than 10 pps. The consumed energy characteristic increases with the increase of Tr. Simulation results show that the consumed energy of random movement is the worst among four scenarios. The consumed energy of boids model is the lowest in four cases. This shows that the event movement with boids model can decrease the consumed energy in the large scale WSNs.","PeriodicalId":152012,"journal":{"name":"2010 Fifth International Conference on Systems and Networks Communications","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 Fifth International Conference on Systems and Networks Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSNC.2010.19","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In this paper, we investigate how the sensor network performs in the case when the event moves with special movement path. We compare the simulation results for four scenarios: when the event is stationary, moving randomly, moving with simple 4 path and boids path. The simulation results have shown that for the case when event is moving randomly the performance is the worst in the four scenarios. The characteristic of goodput decreases with the increase of number of sensor nodes. In the case of boids model, the gooput is unstable when the Tr is lower than 10 pps. The consumed energy characteristic increases with the increase of Tr. Simulation results show that the consumed energy of random movement is the worst among four scenarios. The consumed energy of boids model is the lowest in four cases. This shows that the event movement with boids model can decrease the consumed energy in the large scale WSNs.