EC-CENTRIC: An Energy- and Context-Centric Perspective on IoT Systems and Protocol Design

The radio transceiver of an IoT device is often where most of the energy is consumed. For this reason, most research so far has focused on low power circuit and energy efficient physical layer designs, with the goal of reducing the average energy per information bit required for communication. While these efforts are valuable per se, their actual effectiveness can be partially neutralized by ill-designed network, processing and resource management solutions, which can become a primary factor of performance degradation, in terms of throughput, responsiveness and energy efficiency. The objective of this paper is to describe an energy-centric and context-aware optimization framework that accounts for the energy impact of the fundamental functionalities of an IoT system and that proceeds along three main technical thrusts: 1) balancing signal-dependent processing techniques (compression and feature extraction) and communication tasks; 2) jointly designing channel access and routing protocols to maximize the network lifetime; 3) providing self-adaptability to different operating conditions through the adoption of suitable learning architectures and of flexible/reconfigurable algorithms and protocols. After discussing this framework, we present some preliminary results that validate the effectiveness of our proposed line of action, and show how the use of adaptive signal processing and channel access techniques allows an IoT network to dynamically tune lifetime for signal distortion, according to the requirements dictated by the application

Analysing the IoT Ecosystem: the Barriers to Commercial Traction

The Internet of Things (IoT) has come to mean all things to all people. Combined with the huge amount of interest and investment into this emerging opportunity, there is a real possibility that the arising confusion will hamper adoption by the mass market. This paper proposes a phased model of the IoT ecosystem development, starting with infrastructure establishment, and culminating in exploitation through the creation of new companies and business models. It does not attempt to quantify the emerging opportunities, relying instead on the many publications dedicated to detailed market analysis. The focus is to place the opportunities in context, demonstrate the importance of sensor system technology underpinning the emerging IoT revolution, and suggests areas where Europe can establish a leadership position. Throughout the paper, examples of the likely protagonists have been used by way of illustration

Asynchronous Resilient Wireless Sensor Network for Train Integrity Monitoring

To increase railway use efficiency, the European Railway Traffic Management System (ERTMS) Level 3 requires all trains to constantly and reliably self-monitor and report their integrity and track position without infrastructure support. Timely train separation detection is challenging, especially for long freight trains without electrical power on cars. Data fusion of multiple monitoring techniques is currently investigated, including distributed integrity sensing of all train couplings. We propose a Wireless Sensor Network (WSN) topology, communication protocol, application, and sensor nodes prototypes designed for low power timely train integrity reporting in unreliable conditions, like intermittent node operation and network association (e.g., in low environmental energy harvesting conditions) and unreliable radio links. Each train coupling is redundantly monitored by four sensors, which can help to satisfy the Train Collision Avoidance System (TCAS) and European Committee for Electrotechnical Standardization (CENELEC) SIL 4 requirements and contribute to the reliability of the asynchronous network with low rejoin overhead. A control center on the locomotive controls the WSN and receives the reports, helping the integration in railway or Internet of Things (IoT) applications. Software simulations of the embedded application code virtually unchanged show that the energy-optimized configurations check a 50-car train integrity (about 1 km long) in 3.6 s average with 0.1 s standard deviation and that more than 95 % of the reports are delivered successfully with up to one-third of communications or up to 15 % of the nodes failed. We also report qualitative test results for a 20-node network in different experimental conditions

The IoT Tree of Life

The Internet of Things (IoT) has come to mean all things to all people. Combined with the huge amount of interest and investment into this emerging opportunity, there is a real possibility that the arising confusion will hamper adoption by the mass market. The SILC team have used their extensive Sensor Systems market and technical knowledge in an attempt to clarify the situation for individuals interested in understanding IoT, and the underpinning role of Sensor Systems. This paper proposes a phased model of the IoT ecosystem, starting with infrastructure establishment, and culminating in exploitation through the creation of new companies and business models. It does not attempt to quantify the emerging opportunities, relying instead on the many publications dedicated to detailed market analysis. The focus is to place the opportunities in context, demonstrate the importance of sensor system technology underpinning the emerging IoT revolution, and suggests areas where the UK could establish leadership positions. Throughout the paper, examples of the likely protagonists have been used by way of illustration

STR-991: ENERGY HARVESTING METHODS FOR STRUCTURAL HEALTH MONITORING USING WIRELESS SENSORS: A REVIEW

Structural Health Monitoring (SHM) implies monitoring the performance of structures using sensors to get an advance warning of the loss of structural capacity or potential collapse. Wireless-sensor based monitoring system is found to be advantageous over traditional wire-based system because of their ease of implementation and maintenance. However, power supply is an important concern for wireless sensors used in monitoring of civil engineering structures. While there are different efficient power usage methods and power supply solutions available for wireless sensors, their applications to SHM systems for civil infrastructure are not standardized. Energy harvesting by means of converting energy from the surrounding environment provides a desirable solution to address the issue of finite power source for wireless sensors. There are several sources of renewable energy that can be harnessed to generate electrical energy for the sensors. This paper reviews some of these energy harvesting sources and provides their working concept, brief idea about related research and a current state-of-art of their applications for structural health monitoring of civil engineering structures. Solar and mechanical energy harvesters have the most implemented applications for monitoring structures currently