None T. K. Sivakumar, None Saurabh Dhyani, None S.V. Manikanthan, None Vishnu Kumar Kaliappan, None K. Baskaran, Kakarla Hari Kishore
{"title":"Cluster-Factors of Mobile Sensor Network Technology for Security Enhanced PEGASIS","authors":"None T. K. Sivakumar, None Saurabh Dhyani, None S.V. Manikanthan, None Vishnu Kumar Kaliappan, None K. Baskaran, Kakarla Hari Kishore","doi":"10.3991/ijim.v17i18.42915","DOIUrl":null,"url":null,"abstract":"Mobile wireless sensor networks (MWSNs) have been a hot topic of research, and numerous routing methods have been developed to increase energy efficiency and extend longevity. Nodes close to the sink often use more energy to transmit data from their neighbors to the sink, which causes them to run out of energy faster. These places are also referred to as rendezvous points, and choosing the best one is a hard task. The likelihood of choosing an ideal node as the rendezvous point will be extremely low because hierarchical algorithms only use their local information to select these places. The warm spot problem is addressed from four angles in this work using the Enhanced Power-Efficient Gathering in Sensor Information Systems (EPEGASIS) technique. In order to limit the amount of energy used during transmission, the ideal communication distance is first calculated. To balance the energy consumption among the nodes, mobile sink technology is employed once a threshold value is set to safeguard the dying nodes. The node can then modify its communication range based on how far away the sink node is from it. Thorough testing has been done to demonstrate that our suggested EPEGASIS works better in terms of longevity, drive usage, and web latency.","PeriodicalId":53486,"journal":{"name":"International Journal of Interactive Mobile Technologies","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Interactive Mobile Technologies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3991/ijim.v17i18.42915","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"Computer Science","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile wireless sensor networks (MWSNs) have been a hot topic of research, and numerous routing methods have been developed to increase energy efficiency and extend longevity. Nodes close to the sink often use more energy to transmit data from their neighbors to the sink, which causes them to run out of energy faster. These places are also referred to as rendezvous points, and choosing the best one is a hard task. The likelihood of choosing an ideal node as the rendezvous point will be extremely low because hierarchical algorithms only use their local information to select these places. The warm spot problem is addressed from four angles in this work using the Enhanced Power-Efficient Gathering in Sensor Information Systems (EPEGASIS) technique. In order to limit the amount of energy used during transmission, the ideal communication distance is first calculated. To balance the energy consumption among the nodes, mobile sink technology is employed once a threshold value is set to safeguard the dying nodes. The node can then modify its communication range based on how far away the sink node is from it. Thorough testing has been done to demonstrate that our suggested EPEGASIS works better in terms of longevity, drive usage, and web latency.
期刊介绍:
This interdisciplinary journal focuses on the exchange of relevant trends and research results and presents practical experiences gained while developing and testing elements of interactive mobile technologies. It bridges the gap between pure academic research journals and more practical publications. So it covers the full range from research, application development to experience reports and product descriptions. Fields of interest include, but are not limited to: -Future trends in m-technologies- Architectures and infrastructures for ubiquitous mobile systems- Services for mobile networks- Industrial Applications- Mobile Computing- Adaptive and Adaptable environments using mobile devices- Mobile Web and video Conferencing- M-learning applications- M-learning standards- Life-long m-learning- Mobile technology support for educator and student- Remote and virtual laboratories- Mobile measurement technologies- Multimedia and virtual environments- Wireless and Ad-hoc Networks- Smart Agent Technologies- Social Impact of Current and Next-generation Mobile Technologies- Facilitation of Mobile Learning- Cost-effectiveness- Real world experiences- Pilot projects, products and applications