An Evolutionary Game Approach on IoT Service Selection for Balancing Device Energy Consumption

Jun Na, Kwei Jay Lin, Zhenqiu Huang, Sen Zhou

研究成果: 圖書/報告稿件的類型會議稿件同行評審

22 引文 斯高帕斯(Scopus)

摘要

Internet of Things (IoT) services are becoming a popular class of services. Compared to traditional pure software-based services, IoT services are deployed on and constrained by devices in physical environments. Interruption of an IoT service may be caused by energy failure of its host device. Balancing energy consumption of all devices in outdoor settings is desirable to maximize the system lifetime. In this paper, we present an evolutionary game approach to service selection for multiple IoT applications. Different from centralized and pre-execution service selection methods, the approach avoids congregation on certain devices by using a global view of competitions and interactions for service selections in all concurrent applications. Our simulation results show that the proposed service selection approach can evenly distribute energy consumption across all IoT devices and extend the overall system lifetime.

原文英語
主出版物標題Proceedings - 12th IEEE International Conference on E-Business Engineering, ICEBE 2015
編輯Yinsheng Li, Kuo-Ming Chao, Jen-Yao Chung, Xiang Fei
發行者Institute of Electrical and Electronics Engineers Inc.
頁面331-338
頁數8
ISBN(電子)9781467380027
DOIs
出版狀態已出版 - 08 12 2015
對外發佈
事件12th IEEE International Conference on E-Business Engineering, ICEBE 2015 - Beijing, 中國
持續時間: 23 10 201525 10 2015

出版系列

名字Proceedings - 12th IEEE International Conference on E-Business Engineering, ICEBE 2015

Conference

Conference12th IEEE International Conference on E-Business Engineering, ICEBE 2015
國家/地區中國
城市Beijing
期間23/10/1525/10/15

文獻附註

Publisher Copyright:
© 2015 IEEE.

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