{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:46:45Z","timestamp":1777704405723,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2018,7,26]],"date-time":"2018-07-26T00:00:00Z","timestamp":1532563200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2018,10,27]]},"abstract":"<jats:p>In order to reduce energy consumption of network nodes, it is necessary to design a monitoring system for energy consumption of network nodes. When the current network nodes energy consumption monitoring system is used to monitor and control energy consumption of nodes, there are problems of low monitoring efficiency and poor energy saving. A fuzzy system design method is proposed in this paper for energy consumption monitoring of wireless sensor network nodes. The energy consumption monitoring daemon on sensor nodes, the energy consumption monitoring program on gateway nodes and the control program on the host PC in the fuzzy system for energy consumption monitoring of wireless sensor network nodes are designed and analyzed. The change of energy in nodes is regarded as an important condition for selecting work or sleep. The fuzzy power control algorithm is used to control the node sleep mechanism and the node wake-up mechanism in the wireless sensor network to complete the design of the fuzzy system for energy consumption monitoring of wireless sensor network nodes. The experimental results show that the proposed method has high monitoring efficiency and energy saving performance.<\/jats:p>","DOI":"10.3233\/jifs-169752","type":"journal-article","created":{"date-parts":[[2018,7,27]],"date-time":"2018-07-27T19:26:25Z","timestamp":1532719585000},"page":"4319-4328","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":3,"title":["Fuzzy system for monitoring energy consumption of wireless sensor network nodes"],"prefix":"10.1177","volume":"35","author":[{"given":"Dong","family":"Hua","sequence":"first","affiliation":[{"name":"South China University of Technology, Guangzhou, China"}]},{"given":"Longjun","family":"Wang","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, China"}]},{"given":"Yufeng","family":"Xu","sequence":"additional","affiliation":[{"name":"South China University of Technology, Guangzhou, China"}]},{"given":"Hongyan","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Engineering, Changsha Medical University, Changsha, China"}]},{"given":"N.","family":"Gombay","sequence":"additional","affiliation":[{"name":"Div Math, SPMS MAS 05-43, Singapore, Singapore"}]}],"member":"179","published-online":{"date-parts":[[2018,7,26]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2017.2661280"},{"issue":"4","key":"e_1_3_1_3_2","first-page":"1","article-title":"Energy conscious deterministic self-healing new generation wireless sensor network.","volume":"23","author":"Thangaraj M.","year":"2016","unstructured":"ThangarajM. and AnuradhaS., Energy conscious deterministic self-healing new generation wireless sensor network., smart WSN using the Aatral framework, Wireless Networks23 (4) (2016), 1\u201318.","journal-title":"smart WSN using the Aatral framework, Wireless Networks"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1109\/MWC.2017.1600084WC"},{"issue":"5","key":"e_1_3_1_5_2","first-page":"1","article-title":"Encoding scheme to reduce energy consumption of delivering data in radio frequency powered battery-free wireless sensor networks","volume":"32","author":"Zhu Y.H.","year":"2017","unstructured":"ZhuY.H., LiE. and ChiK., Encoding scheme to reduce energy consumption of delivering data in radio frequency powered battery-free wireless sensor networks, IEEE Transactions on Vehicular Technology32(5) (2017), 1.","journal-title":"IEEE Transactions on Vehicular Technology"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2016.2545498"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/TCOMM.2015.2396512"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2015.2409841"},{"key":"e_1_3_1_9_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11276-015-0946-8"},{"key":"e_1_3_1_10_2","first-page":"204","article-title":"Energy saving and managing system for operators\u2019 computer room of telecom based on IoT technology","volume":"53","author":"Zhao Q.Y.","year":"2017","unstructured":"ZhaoQ.Y., QuS.C., ZhangW.G., et al.,Energy saving and managing system for operators\u2019 computer room of telecom based on IoT technology, Computer Engineering and Applications53 (2017), 204\u2013207.","journal-title":"Computer Engineering and Applications"},{"issue":"14","key":"e_1_3_1_11_2","first-page":"33","article-title":"Low power node architecture design for mechanical vibration wireless sensor networks","volume":"36","author":"Zeng C.","year":"2017","unstructured":"ZengC., TangB.P., XiaoX., et al.,Low power node architecture design for mechanical vibration wireless sensor networks, (14) Journal of Vibration and Shock36 (2017), 33\u201337.","journal-title":"Journal of Vibration and Shock"},{"key":"e_1_3_1_12_2","first-page":"680","article-title":"Research of energy consumption optimization methods for cloud video surveillance system","volume":"26","author":"Xiong Y.H.","year":"2015","unstructured":"XiongY.H., ZhangY.S., ChenX., et al.,Research of energy consumption optimization methods for cloud video surveillance system, Journal of Software26 (2015), 680\u2013698.","journal-title":"Journal of Software"},{"key":"e_1_3_1_13_2","doi-asserted-by":"crossref","unstructured":"LeeC.D. 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