Thomas Newe

By Sven Zacharias and Thomas Newe

Part of the book: Smart Wireless Sensor Networks

By Walid Elgenaidi, Thomas Newe, Eoin O’Connel, Muftah Fraifer, Avijit Mathur, Daniel Toal and Gerard Dooly

There has been a significant increase in the implementation of wireless sensor networks (WSNs) in different disciplines, including the monitoring of maritime environments, healthcare systems and industrial sectors. WSNs must regulate different sorts of data transmission such as routing protocols and secure key management protocols. An efficient WSNs? architecture must address the capability for remote sensor data management, for example encrypted transmitting data between nodes. This system demonstrates the capability to adapt its sensor members in the network in response to environmental changes or the condition of sensor nodes. The key management technique for any secure application must minimally provide security services such as authenticity, confidentiality, integrity, scalability (S), and flexibility. This chapter studies and analyzes different key management schemes that are implemented in WSN applications and evaluates the performance of secure key coordination algorithm for line topology WSNs. This scheme provides traveling packet for a source to end user via an individually encrypted link between authenticated sensor nodes. It will be shown how security algorithms are applied on a network, such as advanced encryption standard (AES)-based WSNs in real time, e.g., Waspmote sensor platform at the University of Limerick Campus.

Part of the book: Advances in Security in Computing and Communications

By Muzaffar Rao and Thomas Newe

The current manufacturing transformation is represented by using different terms like; Industry 4.0, smart manufacturing, Industrial Internet of Things (IIoTs), and the Model-Based enterprise. This transformation involves integrated and collaborative manufacturing systems. These manufacturing systems should meet the demands changing in real-time in the smart factory environment. Here, this manufacturing transformation is represented by the term ‘Smart Manufacturing’. Smart manufacturing can optimize the manufacturing process using different technologies like IoT, Analytics, Manufacturing Intelligence, Cloud, Supplier Platforms, and Manufacturing Execution System (MES). In the cell-based manufacturing environment of the smart industry, the best way to transfer the goods between cells is through automation (mobile robots). That is why automation is the core of the smart industry i.e. industry 4.0. In a smart industrial environment, mobile-robots can safely operate with repeatability; also can take decisions based on detailed production sequences defined by Manufacturing Execution System (MES). This work focuses on the development of a middleware application using LabVIEW for mobile-robots, in a cell-based manufacturing environment. This application works as middleware to connect mobile robots with the MES system.

Part of the book: Middleware Architecture