V. Sundaram, P. Eugster, X. Zhang, Vamsidhar Addanki
{"title":"Diagnostic tracing for wireless sensor networks","authors":"V. Sundaram, P. Eugster, X. Zhang, Vamsidhar Addanki","doi":"10.1145/2489253.2489255","DOIUrl":null,"url":null,"abstract":"Wireless sensor networks are typically deployed in harsh environments, thus post-deployment failures are not infrequent. An execution trace containing events in their order of execution could play a crucial role in postmortem diagnosis of these failures. Obtaining such a trace however is challenging due to stringent resource constraints. We propose an efficient approach to intraprocedural and interprocedural control-flow tracing that generates traces of all interleaving concurrent events and of the control-flow paths taken inside those events. We demonstrate the effectiveness of our approach with the help of case studies and illustrate its low overhead through measurements and simulations.","PeriodicalId":263540,"journal":{"name":"ACM Trans. Sens. Networks","volume":"222 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM Trans. Sens. Networks","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2489253.2489255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 24
Abstract
Wireless sensor networks are typically deployed in harsh environments, thus post-deployment failures are not infrequent. An execution trace containing events in their order of execution could play a crucial role in postmortem diagnosis of these failures. Obtaining such a trace however is challenging due to stringent resource constraints. We propose an efficient approach to intraprocedural and interprocedural control-flow tracing that generates traces of all interleaving concurrent events and of the control-flow paths taken inside those events. We demonstrate the effectiveness of our approach with the help of case studies and illustrate its low overhead through measurements and simulations.