Jonnel D. Alejandrino, Ronnie S. Concepcion, Sandy C. Lauguico, Ramón Flores, A. Bandala, E. Dadios
{"title":"基于应用的智能监控系统集群和特定连接路由协议","authors":"Jonnel D. Alejandrino, Ronnie S. Concepcion, Sandy C. Lauguico, Ramón Flores, A. Bandala, E. Dadios","doi":"10.1109/HNICEM51456.2020.9400107","DOIUrl":null,"url":null,"abstract":"Data acquisition is a crucial process in smart monitoring system. Intensive monitoring of parameters used for maintenance between the process of monitoring, controls and actuation is essential. All things considered, progressive ability of data acquisition and management provided by wireless sensor networks (WSN) is dependent on several attributes of the underlying routing protocol and connectivity algorithm, predominantly the application-based cluster protocol that is utilized among network gateway, application server and sensor nodes/motes. Further along, congestions caused by numerous integrations of environmental sensors and sending of information to remote stations is greatly affected by the heterogeneity and mobility of the motes in detecting congestion in a network. A combination of application-based routing protocol and connectivity-specific algorithm has been developed to achieved better performance of multiple sensors integration in terms of network lifetime, connectivity network coverage, and other QoS metrics as an alternative to the current system being used. The Application priority-reliant transmission is utilized for the optimizing methodology, it highlights the application priority in regulating the “rate of arrival”. MATLAB R2019a was utilized in validating the proposed algorithm and then technically compared with standard setup (with fundamental parameters) and Adaptive Cuckoo Search (ACS) algorithms. Results technically showed that the proposed algorithm is preferential than the initial setup by an improvement of 62.71% in minimum coverage area, 75.03% in Congestion Level and 40.64% in networklifetime.","PeriodicalId":230810,"journal":{"name":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Application-based Cluster and Connectivity-Specific Routing Protocol for Smart Monitoring System\",\"authors\":\"Jonnel D. Alejandrino, Ronnie S. Concepcion, Sandy C. Lauguico, Ramón Flores, A. Bandala, E. Dadios\",\"doi\":\"10.1109/HNICEM51456.2020.9400107\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Data acquisition is a crucial process in smart monitoring system. Intensive monitoring of parameters used for maintenance between the process of monitoring, controls and actuation is essential. All things considered, progressive ability of data acquisition and management provided by wireless sensor networks (WSN) is dependent on several attributes of the underlying routing protocol and connectivity algorithm, predominantly the application-based cluster protocol that is utilized among network gateway, application server and sensor nodes/motes. Further along, congestions caused by numerous integrations of environmental sensors and sending of information to remote stations is greatly affected by the heterogeneity and mobility of the motes in detecting congestion in a network. A combination of application-based routing protocol and connectivity-specific algorithm has been developed to achieved better performance of multiple sensors integration in terms of network lifetime, connectivity network coverage, and other QoS metrics as an alternative to the current system being used. The Application priority-reliant transmission is utilized for the optimizing methodology, it highlights the application priority in regulating the “rate of arrival”. MATLAB R2019a was utilized in validating the proposed algorithm and then technically compared with standard setup (with fundamental parameters) and Adaptive Cuckoo Search (ACS) algorithms. Results technically showed that the proposed algorithm is preferential than the initial setup by an improvement of 62.71% in minimum coverage area, 75.03% in Congestion Level and 40.64% in networklifetime.\",\"PeriodicalId\":230810,\"journal\":{\"name\":\"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HNICEM51456.2020.9400107\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HNICEM51456.2020.9400107","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Application-based Cluster and Connectivity-Specific Routing Protocol for Smart Monitoring System
Data acquisition is a crucial process in smart monitoring system. Intensive monitoring of parameters used for maintenance between the process of monitoring, controls and actuation is essential. All things considered, progressive ability of data acquisition and management provided by wireless sensor networks (WSN) is dependent on several attributes of the underlying routing protocol and connectivity algorithm, predominantly the application-based cluster protocol that is utilized among network gateway, application server and sensor nodes/motes. Further along, congestions caused by numerous integrations of environmental sensors and sending of information to remote stations is greatly affected by the heterogeneity and mobility of the motes in detecting congestion in a network. A combination of application-based routing protocol and connectivity-specific algorithm has been developed to achieved better performance of multiple sensors integration in terms of network lifetime, connectivity network coverage, and other QoS metrics as an alternative to the current system being used. The Application priority-reliant transmission is utilized for the optimizing methodology, it highlights the application priority in regulating the “rate of arrival”. MATLAB R2019a was utilized in validating the proposed algorithm and then technically compared with standard setup (with fundamental parameters) and Adaptive Cuckoo Search (ACS) algorithms. Results technically showed that the proposed algorithm is preferential than the initial setup by an improvement of 62.71% in minimum coverage area, 75.03% in Congestion Level and 40.64% in networklifetime.