Nishtha Joshi, N. Arora, Divya Upadhyay, Ashwani Kumar Dubey
{"title":"受大自然启发的优化时间同步算法","authors":"Nishtha Joshi, N. Arora, Divya Upadhyay, Ashwani Kumar Dubey","doi":"10.1109/SPIN.2018.8474208","DOIUrl":null,"url":null,"abstract":"The effect of time synchronization within the sensor nodes in Wireless Sensor Networks is an ongoing research area. It has received a huge amount of attention in the last decade. This paper discusses nature inspired algorithm, Ant Colony Optimization based Time-Sync(ACOTS) algorithm to provide an energy optimized solution to resolve time synchronization in WSN. Ant Colony optimization algorithm is implemented, and it was observed that it drastically reduces the number of packets transmitted and received during the synchronization process. This would help to solve time synchronization problem as well as it will also create an energy efficient network. The proposed algorithm ACOTS is compared with the already existing algorithms for e.g. Reference-Broadcast Synchronization (RBS) and Time-Sync Protocol for Sensor Network (TPSN). Comparative results suggested ACOTS uses less exchange of messages than other schemes.","PeriodicalId":184596,"journal":{"name":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Optimized Time Synchronization Algorithm Inspired By Nature\",\"authors\":\"Nishtha Joshi, N. Arora, Divya Upadhyay, Ashwani Kumar Dubey\",\"doi\":\"10.1109/SPIN.2018.8474208\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The effect of time synchronization within the sensor nodes in Wireless Sensor Networks is an ongoing research area. It has received a huge amount of attention in the last decade. This paper discusses nature inspired algorithm, Ant Colony Optimization based Time-Sync(ACOTS) algorithm to provide an energy optimized solution to resolve time synchronization in WSN. Ant Colony optimization algorithm is implemented, and it was observed that it drastically reduces the number of packets transmitted and received during the synchronization process. This would help to solve time synchronization problem as well as it will also create an energy efficient network. The proposed algorithm ACOTS is compared with the already existing algorithms for e.g. Reference-Broadcast Synchronization (RBS) and Time-Sync Protocol for Sensor Network (TPSN). Comparative results suggested ACOTS uses less exchange of messages than other schemes.\",\"PeriodicalId\":184596,\"journal\":{\"name\":\"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPIN.2018.8474208\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPIN.2018.8474208","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Optimized Time Synchronization Algorithm Inspired By Nature
The effect of time synchronization within the sensor nodes in Wireless Sensor Networks is an ongoing research area. It has received a huge amount of attention in the last decade. This paper discusses nature inspired algorithm, Ant Colony Optimization based Time-Sync(ACOTS) algorithm to provide an energy optimized solution to resolve time synchronization in WSN. Ant Colony optimization algorithm is implemented, and it was observed that it drastically reduces the number of packets transmitted and received during the synchronization process. This would help to solve time synchronization problem as well as it will also create an energy efficient network. The proposed algorithm ACOTS is compared with the already existing algorithms for e.g. Reference-Broadcast Synchronization (RBS) and Time-Sync Protocol for Sensor Network (TPSN). Comparative results suggested ACOTS uses less exchange of messages than other schemes.