A critical analysis of research potential, challenges and future directives in industrial wireless sensor networks

In recent years, Industrial Wireless Sensor Networks (IWSNs) have emerged as an important research theme with applications spanning a wide range of industries including automation, monitoring, process control, feedback systems and automotive. Wide scope of IWSNs applications ranging from small production units, large oil and gas industries to nuclear fission control, enables a fast-paced research in this field. Though IWSNs offer advantages of low cost, flexibility, scalability, self-healing, easy deployment and reformation, yet they pose certain limitations on available potential and introduce challenges on multiple fronts due to their susceptibility to highly complex and uncertain industrial environments. In this paper a detailed discussion on design objectives, challenges and solutions, for IWSNs, are presented. A careful evaluation of industrial systems, deadlines and possible hazards in industrial atmosphere are discussed. The paper also presents a thorough review of the existing standards and industrial protocols and gives a critical evaluation of potential of these standards and protocols along with a detailed discussion on available hardware platforms, specific industrial energy harvesting techniques and their capabilities. The paper lists main service providers for IWSNs solutions and gives insight of future trends and research gaps in the field of IWSNs

Data reduction strategies.

Based on the variety of methods available for gathering data for the aircraft health status, the challenge is to reduce the overall amount of data in a trackable and safe manner to ensure that the remaining data are characteristic of the current aircraft status. This chapter will cover available data reduction strategies for this task and discuss the data intensity of the SHM methods of Chaps. 5 to 8 and established approaches to deal with the acquired data. This includes aspects of algorithms and legal issues arising in this context

Wireless Sensors for Health Monitoring of Marine Structures and Machinery

Remote structural and machinery health monitoring (SMHM) of marine structures such as ships, oil and gas rigs, freight container terminals, and marine energy platforms can ensure their reliability. However, the wired sensors currently used in these applications are difficult and expensive to install and maintain. Wireless Sensor Networks (WSN) can potentially replace them but there are significant capability gaps that currently prevent their long-term deployment in the harsh marine environment and the structurally-complex, compartmentalised, all-metal scenarios with high volume occupancy of piping, ducting and operational machinery represented by marine structures. These gaps are in sensing, processing and communication hardware and firmware capabilities, reduction of power consumption, hardware assembly and packaging for reliability in the marine environment, reliability of wireless connectivity in the complex metal structures, and software for WSN deployment planning in the marine environment. Taken together, these gaps highlight the need for a systems integration methodology for marine SMHM and this is the focus of the research presented in this thesis. The research takes an applied approach by first designing the hardware and firmware for two wireless sensing modules specifically for marine SMHM, one a novel eddy-current-based 3D module for measuring multi-axis metal structural displacement, the second a fully integrated module for monitoring of structure and machinery reliability. The research then addresses module assembly and packaging methods to ensure reliability in the marine environment, the development of an efficient methodology for characterising the reliability of wireless connectivity in complex metal structures, and development of user interface software for planning WSN deployment and for managing the collection of WSN data. These are then individually and collectively characterised and tested for performance and reliability in laboratory, land-based and marine deployments. In addition to the research outcomes in each of these individual aspects, the overall research outcome represents a systems integration methodology that now allows deployment, with a high expectation of reliability of marine SMHM WSNs