Deadline-Aware Scheduling Perspectives in Industrial Wireless Networks: A Comparison between IEEE 802.15.4 and Bluetooth

In industrial contexts, most of process control applications use wired communication networks. The reliability of wired networks is indisputable and extensively demonstrated by several studies in the literature. However, it is important to consider several disadvantages provided by the use of wired technologies, like high deployment and maintenance costs and low network scalability. Although it is difficult to fully replace wired networks, wireless communication protocols have features which could undeniably affect in positive way the production mechanisms in factories. The wireless networks (WNs) are effectively used to detect and exchange information. The main communication protocols, currently available for WNs, however, do not support real-time periodic traffic flows which, as known, mainly characterize industrial networks. In this paper, we will analyze a real-time scheduling algorithm for both periodic and aperiodic traffic management, applied to networks based on IEEE 802.15.4 and Bluetooth, respectively. The main purpose of this research is to reduce, as much as possible, the packet loss on the channel, increasing at the same time the reliability of the wireless technology. Furthermore, the comparison between IEEE 802.15.4 and Bluetooth will allow to identify the more suitable communication protocol for industrial process control systems

A Dynamic Traffic Light Management System Based on Wireless Sensor Networks for the Reduction of the Red-Light Running Phenomenon

The real-time knowledge of information concerning traffic light junctions represents a valid solution to congestion problems with the main aim to reduce, as much as possible, accidents. The Red Light Running (RLR) is a behavioural phenomenon that occurs when the driver must to choose to cross (or not) the road when the traffic light changes from green to yellow. Most of the time the drivers cross even during transitions from yellow to red and, as a consequence, the possibility of accidents increases. This often occurs because the drivers wait too much in the traffic light queue as a consequence of the fact that the traffic light is not well balanced. In this paper we propose a technique that, based on information gathered through a wireless sensor network, dynamically processes green times in a traffic light of an isolated intersection. The main aim is to optimise the waiting time in the queue and, as a consequence, reduce the RLR phenomenon occurrence

a dynamic traffic light management system based on wireless sensor networks for the reduction of the red light running phenomenon

Abstract The real-time knowledge of information concerning traffic light junctions represents a valid solution to congestion problems with the main aim to reduce, as much as possible, accidents. The Red Light Running (RLR) is a behavioural phenomenon that occurs when the driver must to choose to cross (or not) the road when the traffic light changes from green to yellow. Most of the time the drivers cross even during transitions from yellow to red and, as a consequence, the possibility of accidents increases. This often occurs because the drivers wait too much in the traffic light queue as a consequence of the fact that the traffic light is not well balanced. In this paper we propose a technique that, based on information gathered through a wireless sensor network, dynamically processes green times in a traffic light of an isolated intersection. The main aim is to optimise the waiting time in the queue and, as a consequence, reduce the RLR phenomenon occurrence

a self powered wireless sensor network for dynamic management of queues at traffic lights

Abstract The dynamic management of traffic light cycles is a really interesting research issue considering modern technologies, which can be used in order to optimise road junctions and then improve living conditions of the roads. Wireless sensor networks represent the most suitable technology, as they are easy to deploy and manage. The data relating to road traffic flows can be detected by the sensor network and then processed through the innovative approach, proposed in this work, in order to determine the right green times at traffic lights. Although wireless sensor networks are characterized by very low consumption devices, the continuous information transmission reduces the life cycle of the whole network. To this end, the proposed architecture provides a technique to power the sensor nodes based on piezoelectric materials, which allow producing potential energy taking advantage of the vibration produced by the passage of vehicles on the road

A parallel fuzzy scheme to improve power consumption management in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are increasingly used in different application fields thanks to several advantages such as cost-effectiveness, scalability, flexibility and selforganization. A hot research topic concerns the study of algorithms and mechanisms for reducing the power consumption of the nodes in order to maximize their lifetime. To this end, this paper proposes an approach based on two fuzzy controllers that determine the sleeping time and the transmission power. Simulation results reveal that the device lifetime is increased by 30% with respect to the use of fixed sleeping time and transmission power and by 25% with respect to a state-of-the-art work that adjusts only the sleeping time

A parallel fuzzy scheme to improve power consumption management in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) are increasingly used in different application fields thanks to several advantages such as cost-effectiveness, scalability, flexibility and selforganization. A hot research topic concerns the study of algorithms and mechanisms for reducing the power consumption of the nodes in order to maximize their lifetime. To this end, this paper proposes an approach based on two fuzzy controllers that determine the sleeping time and the transmission power. Simulation results reveal that the device lifetime is increased by 30% with respect to the use of fixed sleeping time and transmission power and by 25% with respect to a state-of-the-art work that adjusts only the sleeping tim