2019/10/25 by Johannes Dommel, Dommel, Johannes, Zoran Utkovski +5
Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #Signal Processing (eess.SP) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1910.11704
openalex publication_date 2019/10/25 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
Consider an Internet-of-Things (IoT) system that monitors a number of\nmulti-valued events through multiple sensors sharing the same bandwidth. Each\nsensor measures data correlated to one or more events, and communicates to the\nfusion center at a base station using grant-free random access whenever the\ncorresponding event is active. The base station aims at detecting the active\nevents, and, for each active event, to determine a scalar value describing each\nactive event's state. A conventional solution based on Separate Source-Channel\n(SSC) coding would use a separate codebook for each sensor and decode the\nsensors' transmitted packets at the base station in order to subsequently carry\nout events' detection. In contrast, this paper considers a potentially more\nefficient solution based on Joint Source-Channel (JSC) coding via a\nnon-orthogonal generalization of Type-Based Multiple Access (TBMA).\nAccordingly, all sensors measuring the same event share the same codebook (with\nnon-orthogonal codewords), and the base station directly detects the events'\nvalues without first performing individual decoding for each sensor. A novel\nBayesian message-passing detection scheme is developed for the proposed\nTBMA-based protocol, and its performance is compared to conventional solutions.\n