2019/07/19 by Clara Nieto-Taladriz, Nieto-Taladriz, Clara, Yuri Murillo +3
Computer Science · Engineering · #Bluetooth and Wireless Communication Technologies #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #Network Time Synchronization Technologies #Networking and Internet Architecture (cs.NI) #Wireless Body Area Networks
paper · pdf · doi:10.48550/arxiv.1907.08419
openalex publication_date 2019/07/19 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
The Internet of Things (IoT) opens the doors to a digital revolution, but\nrequires a robust protocol to wirelessly interconnect a large number of\ndevices. Bluetooth Low Energy (BLE) Mesh emerges as a suitable candidate,\nsolving the range limitations of original BLE. Nevertheless, the main\nlimitation is shifted to the scatternet architecture: how the considerable\nnumber of end systems are interconnected to ensure the network efficiency and\nscalability. As of today, some timid solutions have emerged, though the most\nrelevant parameters for the best parent selection in BLE mesh network joining\nprocedures have not been identified yet. In this work, we perform a thorough\nexploration of different device and environmental parameters in a BLE mesh\ntestbed to analyze their impact in the overall network figures of merit, such\nas end-to-end delay and packet delivery ratio (PDR). According to the inferred\nrelevance, the second part of the work implements and measures the proposed\nparent selection algorithm. The implementation is based on the open source\nFruitymesh protocol and is used as a baseline. The results reflect an\nenhancement in the network scalability and fairness, accomplishing a delay and\nPDR improvement of 26% and 10% respectively, and the avoidance of saturated\nbranches of 24%.\n