A Management Model for Low Powered Wireless Personal Area Networks

Most of the researchers are investigating Internet of Things (IoT) to obtain information about our environment to control and act on it with the analysis of collected big data. An important topic with IoT is to manage the vast number of devices. In this demo, we demonstrate a management model in order to detect faults, analyze network and improve performance and connectivity in low powered mesh networks. The model can take actions when necessary and visualize those actions and the state of different managed objects. For building the proposed model, we have modified a well-known network management protocol to use for management data access and have performed fault and performance analysis in terms of values of counters collected from the interfaces. Our demonstrations indicate that the usage of the proposed method can perform well in limited bandwidth networks. At the same time, some security and device firmware related features are also added to the management system.

I. Introduction

Sensor networks are one of the fastest developing aspects of today, due to the benefits it provides both for industrial and for end users. This trend is increasing gradually and everyday more and more objects are being used in our environment. The presence of such a large number of devices in the outside world without management is a problem that must be solved which includes intervention and security risks [1]. In IoT deployments, as like the device types, network connection methods are differs like star and mesh topologies. IPv6 over Low Powered Personal Area Network (6LoWPAN) [2], with ZigBee, stand out as popular mesh network technologies. However, the same management problem applies to 6LoW-PAN devices operating in mesh structure [3].