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J. Sens. Actuator Netw. 2018, 7(4), 51; https://doi.org/10.3390/jsan7040051

Design and Analysis of Adaptive Hierarchical Low-Power Long-Range Networks

1
Department of Computer Engineering and Informatics, University of Patras, 26504 Patras, Greece
2
Department of Computer, Control and Management Engineering “Antonio Ruberti”, Sapienza University of Rome, 00185 Rome, Italy
*
Author to whom correspondence should be addressed.
Received: 15 October 2018 / Revised: 16 November 2018 / Accepted: 21 November 2018 / Published: 27 November 2018
(This article belongs to the Special Issue Sensor and Actuator Networks: Feature Papers 2018)
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Abstract

A new phase of evolution of Machine-to-Machine (M2M) communication has started where vertical Internet of Things (IoT) deployments dedicated to a single application domain gradually change to multi-purpose IoT infrastructures that service different applications across multiple industries. New networking technologies are being deployed operating over sub-GHz frequency bands that enable multi-tenant connectivity over long distances and increase network capacity by enforcing low transmission rates to increase network capacity. Such networking technologies allow cloud-based platforms to be connected with large numbers of IoT devices deployed several kilometres from the edges of the network. Despite the rapid uptake of Long-power Wide-area Networks (LPWANs), it remains unclear how to organize the wireless sensor network in a scaleable and adaptive way. This paper introduces a hierarchical communication scheme that utilizes the new capabilities of Long-Range Wireless Sensor Networking technologies by combining them with broadly used 802.11.4-based low-range low-power technologies. The design of the hierarchical scheme is presented in detail along with the technical details on the implementation in real-world hardware platforms. A platform-agnostic software firmware is produced that is evaluated in real-world large-scale testbeds. The performance of the networking scheme is evaluated through a series of experimental scenarios that generate environments with varying channel quality, failing nodes, and mobile nodes. The performance is evaluated in terms of the overall time required to organize the network and setup a hierarchy, the energy consumption and the overall lifetime of the network, as well as the ability to adapt to channel failures. The experimental analysis indicate that the combination of long-range and short-range networking technologies can lead to scalable solutions that can service concurrently multiple applications. View Full-Text
Keywords: wireless sensor networks; low power networks; long range networks; algorithm engineering; self-stabilization; implementation; protocols; software design; cross-layer; cross-platform wireless sensor networks; low power networks; long range networks; algorithm engineering; self-stabilization; implementation; protocols; software design; cross-layer; cross-platform
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Amaxilatis, D.; Chatzigiannakis, I. Design and Analysis of Adaptive Hierarchical Low-Power Long-Range Networks. J. Sens. Actuator Netw. 2018, 7, 51.

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