{"title":"Joint Localization and Clock Synchronization in Cuboid Bounded Diffusive Channel With Absorbing and Reflecting Boundaries","authors":"Ajit Kumar;Sudhir Kumar","doi":"10.1109/TNSE.2024.3450628","DOIUrl":null,"url":null,"abstract":"This paper proposes a joint localization and synchronization method in the presence of a 3-D (cuboidal-bounded) channel. Many biologically relevant structures, such as epithelium cell membranes, tissues, and blood vessel networks (particularly capillaries), can be effectively modeled as 3-D systems. Localization and synchronization among nanomachines play an important role in the optimal transmission rate, information exchange, and collaboration among nanomachines. Clock synchronization without localization or localization without clock synchronization affects the accuracy of the system. However, the existing methods consider that nanomachines are already synchronized for localization and vice-versa. Hence, the proposed method considers a combined model for location parameters, clock offset, and clock skew. Unlike the existing method, we consider this combined model in bounded environments, which are relevant for long-range molecular communication where released molecules need to be confined within a certain range to optimize power efficiency. However, deriving an analytical channel characterization for a constrained domain is challenging. We provide an analytical equation for the probability distribution function of the propagation delay of the molecules, taking into account the presence of both single and multiple absorbing walls.","PeriodicalId":54229,"journal":{"name":"IEEE Transactions on Network Science and Engineering","volume":"11 6","pages":"6511-6521"},"PeriodicalIF":6.7000,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Network Science and Engineering","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10652889/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a joint localization and synchronization method in the presence of a 3-D (cuboidal-bounded) channel. Many biologically relevant structures, such as epithelium cell membranes, tissues, and blood vessel networks (particularly capillaries), can be effectively modeled as 3-D systems. Localization and synchronization among nanomachines play an important role in the optimal transmission rate, information exchange, and collaboration among nanomachines. Clock synchronization without localization or localization without clock synchronization affects the accuracy of the system. However, the existing methods consider that nanomachines are already synchronized for localization and vice-versa. Hence, the proposed method considers a combined model for location parameters, clock offset, and clock skew. Unlike the existing method, we consider this combined model in bounded environments, which are relevant for long-range molecular communication where released molecules need to be confined within a certain range to optimize power efficiency. However, deriving an analytical channel characterization for a constrained domain is challenging. We provide an analytical equation for the probability distribution function of the propagation delay of the molecules, taking into account the presence of both single and multiple absorbing walls.
期刊介绍:
The proposed journal, called the IEEE Transactions on Network Science and Engineering (TNSE), is committed to timely publishing of peer-reviewed technical articles that deal with the theory and applications of network science and the interconnections among the elements in a system that form a network. In particular, the IEEE Transactions on Network Science and Engineering publishes articles on understanding, prediction, and control of structures and behaviors of networks at the fundamental level. The types of networks covered include physical or engineered networks, information networks, biological networks, semantic networks, economic networks, social networks, and ecological networks. Aimed at discovering common principles that govern network structures, network functionalities and behaviors of networks, the journal seeks articles on understanding, prediction, and control of structures and behaviors of networks. Another trans-disciplinary focus of the IEEE Transactions on Network Science and Engineering is the interactions between and co-evolution of different genres of networks.