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

End-to-End Delay Bounds for Variable Length Packet Transmissions under Flow Transformations

A fundamental contribution of network calculus is the convolution-form representation of networks which enables tight end-to-end delay bounds. Recently, this has been extended to the case where the data flow is subject t...

An automated testbed for profiling the packet send-time accuracy of embedded devices

Embedded devices, such as home routers or single-board computers, are becoming more powerful and affordable. Many of the existing Linux-based network measurement tools can also be run on these devices through cross-compi...

Drone Package Delivery: A Heuristic approach for UAVs path planning and tracking

In this paper we propose a new approach based on a heuristic search for UAVs path planning with terrestrial wireless network tracking. In a previous work we proposed and exact solution based on an integer linear formulat...

Modeling and Experimental Analysis of an In-body Area Nanonetwork

Nanotechnology is gaining more and more consensus in several application fields, comprised in-body applications. Innovative therapies and diagnostic approaches are based on the use of injections or oral delivery of nanop...

FREACSIM - A Framework for Creating and Simulating Real-Time Capable Network on Chip Systems and Applications

This paper presents the new Framework for Real-time capable Embedded system and ArChitecture SIMulation (FREACSIM), a highly configurable full-system simulation environment enabling and easing the modeling, simulation an...

Download PDF file
  • EP ID EP46610
  • DOI http://dx.doi.org/10.4108/eai.11-9-2018.155482
  • Views 291
  • Downloads 0

How To Cite

Sivadi Balakrishna, M. Thirumaran (2018). Semantic Interoperable Traffic Management Framework for IoT Smart City Applications. EAI Endorsed Transactions on Internet of Things, 4(13), -. https://europub.co.uk/articles/-A-46610