Brokerage System for Integration of LrWPAN Technologies.

Josiah E Balota,Ah-Lian Kor

doi:10.3390/s22051733

Abstract

The prevalent demand for remote data sharing and connectivity has catalysed the development of many wireless network technologies. However, low-power and low-rate wireless network technologies have emerged as the preferred choice (due to cheap procurement and maintenance cost, efficiency, and adaptability). Currently, these groups of wireless networks are adopted in homes, health, and business sectors. The increase in existing WSNs has resulted in the incompatibility of wireless network protocols and poses a problem that results in high acquisition or maintenance costs, increased complexity, reliability inadequacies in some instances, lack of uniformity within similar standards, and high energy consumption. To address this problem, we develop a novel machine-to-machine software-based brokerage application (known as JosNet) for interoperability and integration between Bluetooth LE, Zigbee, and Thread wireless network technologies. JosNet allows one network protocol to exchange data packets or commands with each other. In this paper, we present a novel working network brokerage model for a one-to-one network protocol to communication (e.g., from Zigbee to Bluetooth) or one-to-many network protocol communication (e.g., from Bluetooth to Zigbee, Thread, etc.) to securely send messages in a large-scale routing process for short or long-range connections. We also present a large-scale implementation of JosNet using a routing table for large areas. The results show an industry standard performance for end-to-end latency time and throughput.

Highlights

Within the last decade, the prolific deployment of smart technologies has put demands on enhanced performance accompanied by reduced cost or resources [1,2]
We developed a novel software-based network brokerage that provides seamless interoperable communication between various low-rate wireless personal area network (LrWPAN) protocols (i.e., Bluetooth Low Energy, Zigbee, Thread, and WirelessHART) that can read, understand, and interpret packets
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Summary

Introduction

The prolific deployment of smart technologies has put demands on enhanced performance accompanied by reduced cost or resources [1,2]. Numerous low-rate wireless networks for smart devices are subject to similar installation procedures. Incompatible and diverse architecture specifications [5] pose a dysfunctional communication barrier that incurs high costs to end-users, creates security risks, and increases installation complexity for field workers, as well as distrust for the systems [6]. These could only be addressed through heterogeneous networks integration. Reference [7] discussed the barriers to the interoperability of M2M communication between low-rate wireless networks and IoT devices.

Objectives

Results

Conclusion