{"title":"ECO/ee: Energy-aware Collaborative Organic execution environment for wireless sensor networks","authors":"Chih-Ming Hsieh, Zhonglei Wang, J. Henkel","doi":"10.1109/WCNC.2012.6214117","DOIUrl":null,"url":null,"abstract":"This paper presents an energy-aware execution environment, called Energy-aware Collaborative Organic Execution Environment (ECO/ee), for Wireless Sensor Networks (WSN). ECO/ee provides an energy-aware and autonomous data routing scheme. It can dynamically adapt to the user's queries and efficiently determine the energy-abundant delivery paths. The fundamental concepts are inspired by the forage and task allocation mechanisms of honey bees as well as the interaction between the honey bee colony and the bee keeper. The experiments show that our approach outperforms the state-of-the-art in terms of energy efficiency and adaptability to the user requirements.","PeriodicalId":329194,"journal":{"name":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 IEEE Wireless Communications and Networking Conference (WCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNC.2012.6214117","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
This paper presents an energy-aware execution environment, called Energy-aware Collaborative Organic Execution Environment (ECO/ee), for Wireless Sensor Networks (WSN). ECO/ee provides an energy-aware and autonomous data routing scheme. It can dynamically adapt to the user's queries and efficiently determine the energy-abundant delivery paths. The fundamental concepts are inspired by the forage and task allocation mechanisms of honey bees as well as the interaction between the honey bee colony and the bee keeper. The experiments show that our approach outperforms the state-of-the-art in terms of energy efficiency and adaptability to the user requirements.