Semantic Interoperable Traffic Management Framework for IoT Smart City Applications
Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2018, Vol 4, Issue 13
Abstract
Real-time traffic monitoring and controlling are one of the biggest problems in this present living world. So many researchers have dealt with and put their effort into this problem, as a result, several types of approaches have developed. Currently using traffic monitoring and alert systems are not up to the needs of smart city applications and more expensive. This paper proposes an Internet of Things (IoT) based Smart Real-Time Traffic Monitoring System to provide better service with low cost for Smart city applications using semantic annotations. The proposed framework contains two phases namely-traffic monitoring unit and traffic reduction unit. The first phase analyses semantic traffic to detect an emergency, the latter phase removes redundant semantic information for traffic reduction. Simulation results suggest that the framework is capable of accurate and early detection of an emergency as well as traffic reduction while keeping sufficient information to report the emergency.
Authors and Affiliations
Sivadi Balakrishna, M. Thirumaran
Keywords
Related Articles
- EP ID EP46610
- DOI http://dx.doi.org/10.4108/eai.11-9-2018.155482
- Views 294
- Downloads 0
Securing Communication in MQTT enabled Internet of Things with Lightweight security protocol
This paper proposes a security algorithm for Internet of Things (IoT) using simple lightweight cryptographic operations. The main advantage of the proposed algorithm is the simplicity, energy efficiency and the speed of...
PEACH: Predicting Frost Events in Peach Orchards Using IoT Technology
In 2013, 85% of the peach production in the Mendoza region (Argentina) was lost because of frost. In a couple of hours, farmers can lose everything. Handling a frost event is possible, but it is hard to predict when it i...
An iterative Power Allocation Alogrithm for Energy Efficiency Optimization in Massive MIMO Systems
In this paper, a transmitting power allocation strategy for users jointed together pre-coding is presented to eliminate inter-users interference and improve the energy efficiency of Massive MIMO systems. The power alloca...
The DiscoDNC v2 – A Comprehensive Tool for Deterministic Network Calculus
In this paper, we present the Disco Deterministic Network Calculator v2 – our continuation in the effort to provide open-source tool support for worst-case performance analysis. The major achievement of this release is t...
Introducing Neuroberry, a platform for pervasive EEG signaling in the IoT domain
The emergence of inexpensive off-the-shelf wireless EEG devices led researchers to explore novel paradigms in the field of Human Computer Interaction. In fact, the compliance of these devices with the IoT principles towa...