Open Source Solutions for the Industrial Internet of Things

Industrial Internet of Things (IIoT) plays an important role in industries, fundamentally by enabling the accessibility of huge amount of data at high speed more efficiently and effectively, by incorporating the use of massive data, analytical tools, and wireless networks. Wireless Sensor Networks (WSNs) are important in a wide area of Internet of Things (IoT) applications. WSNs are a group of sensors responsible for collecting, analyzing and distributing data using a wireless link to a central storage or other networks types through a gateway. WSNs are rapidly emerging as a new type of distributed systems, with applications in different areas such as in industries, automotive areas, building environment, traffic management, etc. OpenWSN is an open source implementation of a complete protocol stack for IoT. To achieve reliable communication and to get an effective and efficient performance a network requires special routing mechanisms at the network layer. RPL protocol is a mechanism that is specified and developed in order to overcome these requirements. RPL is an IPv6 routing protocol developed for low-power and lossy networks, where motes and routers are expected to be power-constrained. This thesis studies the RPL protocol and how to get liable data transmission with no loss, low and deterministic latency in IIoT technology on industrial networks using open source hardware platform called OpenMote B by measuring the performance of the network with respect to the link. Simulation was performed using the OpenSim emulator, which allows simulating OpenWSN network without a real device. The Performance evaluation is based on traffic generation and measurement of relevant metrics, which are round-trip time (RTT) and Packet Delivery Ratio (PDR). The results obtained from the experiments show that the performance of a network will be effective and efficient when motes are near to the grounded root, or a mote has a minimum hop with respect to the root mote. As future work, the performance of a network should be measured with respect to power consumption and in real devices in different scenarios.