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      Bluetooth Low Energy Mesh Networks: A Survey

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          Abstract

          Bluetooth Low Energy (BLE) has gained significant momentum. However, the original design of BLE focused on star topology networking, which limits network coverage range and precludes end-to-end path diversity. In contrast, other competing technologies overcome such constraints by supporting the mesh network topology. For these reasons, academia, industry, and standards development organizations have been designing solutions to enable BLE mesh networks. Nevertheless, the literature lacks a consolidated view on this emerging area. This paper comprehensively surveys state of the art BLE mesh networking. We first provide a taxonomy of BLE mesh network solutions. We then review the solutions, describing the variety of approaches that leverage existing BLE functionality to enable BLE mesh networks. We identify crucial aspects of BLE mesh network solutions and discuss their advantages and drawbacks. Finally, we highlight currently open issues.

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          Most cited references56

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          Overview and Evaluation of Bluetooth Low Energy: An Emerging Low-Power Wireless Technology

          Bluetooth Low Energy (BLE) is an emerging low-power wireless technology developed for short-range control and monitoring applications that is expected to be incorporated into billions of devices in the next few years. This paper describes the main features of BLE, explores its potential applications, and investigates the impact of various critical parameters on its performance. BLE represents a trade-off between energy consumption, latency, piconet size, and throughput that mainly depends on parameters such as connInterval and connSlaveLatency. According to theoretical results, the lifetime of a BLE device powered by a coin cell battery ranges between 2.0 days and 14.1 years. The number of simultaneous slaves per master ranges between 2 and 5,917. The minimum latency for a master to obtain a sensor reading is 676 μs, although simulation results show that, under high bit error rate, average latency increases by up to three orders of magnitude. The paper provides experimental results that complement the theoretical and simulation findings, and indicates implementation constraints that may reduce BLE performance.
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            The Transport Layer Security (TLS) Protocol Version 1.2

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              Wireless home automation networks: A survey of architectures and technologies

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                Author and article information

                Journal
                Sensors (Basel)
                Sensors (Basel)
                sensors
                Sensors (Basel, Switzerland)
                MDPI
                1424-8220
                22 June 2017
                July 2017
                : 17
                : 7
                : 1467
                Affiliations
                Department of Network Engineering, Universitat Polit̀ecnica de Catalunya, Castelldefels 08860, Spain; sm.darroudi@ 123456entel.upc.edu
                Author notes
                [* ]Correspondence: carlesgo@ 123456entel.upc.edu ; Tel.: +34-93-413-7206
                Article
                sensors-17-01467
                10.3390/s17071467
                5539726
                28640183
                1943f75d-57d6-4443-82b5-ac6b328d7087
                © 2017 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 15 May 2017
                : 20 June 2017
                Categories
                Review

                Biomedical engineering
                bluetooth low energy,bluetooth smart,mesh networks,survey,internet of things,iot,6lowpan,6lo,bluetooth smart mesh

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