{"title":"An energy-density-based trajectory planning method for wireless sensor networks with mobile collectors","authors":"Hongmei Wang;Heejung Byun","doi":"10.23919/JCN.2025.000022","DOIUrl":null,"url":null,"abstract":"Mobile collectors (MCs), such as unmanned aerial vehicles (UAVs), play a crucial role in conserving energy and enhancing the longevity of wireless sensor networks (WSNs) compared to static sinks. The implementation of efficient routing algorithms and scheduling mechanisms tailored for MCs is of utmost importance. In response to this challenge, we propose an innovative data collection method called energy- density-based trajectory planning (EDTP) specifically designed for WSNs equipped with MCs. First, we introduce a global energy-difference density optimization scheme (GEDD) to select cluster heads (CHs) responsible for transmitting data to MCs. The selection of CHs aims to balance the energy consumption of nodes, thereby extending the system's lifespan. Second, we propose the K-dimension tree grouping algorithm (KDTG) with high computational efficiency to group CHs based on their geographical similarity. Comparisons with three existing approaches demonstrate that our proposed EDTP method can significantly increase system lifetime and reduce latency.","PeriodicalId":54864,"journal":{"name":"Journal of Communications and Networks","volume":"27 3","pages":"190-199"},"PeriodicalIF":3.2000,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11106371","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Communications and Networks","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/11106371/","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
Mobile collectors (MCs), such as unmanned aerial vehicles (UAVs), play a crucial role in conserving energy and enhancing the longevity of wireless sensor networks (WSNs) compared to static sinks. The implementation of efficient routing algorithms and scheduling mechanisms tailored for MCs is of utmost importance. In response to this challenge, we propose an innovative data collection method called energy- density-based trajectory planning (EDTP) specifically designed for WSNs equipped with MCs. First, we introduce a global energy-difference density optimization scheme (GEDD) to select cluster heads (CHs) responsible for transmitting data to MCs. The selection of CHs aims to balance the energy consumption of nodes, thereby extending the system's lifespan. Second, we propose the K-dimension tree grouping algorithm (KDTG) with high computational efficiency to group CHs based on their geographical similarity. Comparisons with three existing approaches demonstrate that our proposed EDTP method can significantly increase system lifetime and reduce latency.
期刊介绍:
The JOURNAL OF COMMUNICATIONS AND NETWORKS is published six times per year, and is committed to publishing high-quality papers that advance the state-of-the-art and practical applications of communications and information networks. Theoretical research contributions presenting new techniques, concepts, or analyses, applied contributions reporting on experiences and experiments, and tutorial expositions of permanent reference value are welcome. The subjects covered by this journal include all topics in communication theory and techniques, communication systems, and information networks. COMMUNICATION THEORY AND SYSTEMS WIRELESS COMMUNICATIONS NETWORKS AND SERVICES.