Ali Al-Dahoud, Rayene Doghmane, M. Fezari, Karima Boukari
{"title":"Failure detection on wireless sensor network based on comparative study","authors":"Ali Al-Dahoud, Rayene Doghmane, M. Fezari, Karima Boukari","doi":"10.1109/RISE.2017.8378140","DOIUrl":null,"url":null,"abstract":"In this paper, we present a comparative study on the main faults in a Wireless Sensor Networks (WSN) system. The applications using this new technology have recently been increased due to its huge capacity to connect both the physical and the virtual worlds. WSNs allow assessing locations, which are technically hard to reach by robots or human. With Cloud computing added to the WSN, we expect to see a world covered with trillions of connected devices that sense and share data information with each other. However, many parts of the deployments experience high rates of failure due to node's damage, sensor's damage, RF communication and usually power failure. In this paper, we mentioned existing research works that deal with failure detection in the WSN. Eventually, we presented a comparative case-study of model-based approaches used for failure detection. We also mentioned popular simulation environments used for WSNs. And finally, we showed a case-based simulation using NS-2. This work can be a good survey on Wireless Sensor Network main failures.","PeriodicalId":166244,"journal":{"name":"2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Recent Innovations in Signal processing and Embedded Systems (RISE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RISE.2017.8378140","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, we present a comparative study on the main faults in a Wireless Sensor Networks (WSN) system. The applications using this new technology have recently been increased due to its huge capacity to connect both the physical and the virtual worlds. WSNs allow assessing locations, which are technically hard to reach by robots or human. With Cloud computing added to the WSN, we expect to see a world covered with trillions of connected devices that sense and share data information with each other. However, many parts of the deployments experience high rates of failure due to node's damage, sensor's damage, RF communication and usually power failure. In this paper, we mentioned existing research works that deal with failure detection in the WSN. Eventually, we presented a comparative case-study of model-based approaches used for failure detection. We also mentioned popular simulation environments used for WSNs. And finally, we showed a case-based simulation using NS-2. This work can be a good survey on Wireless Sensor Network main failures.