The concept of Wireless Sensor Networks (WSNs) has generated significant attention on a global scale. According to the IEEE 802.11 standard, WSNs are wireless networks composed of sensor nodes (SNs) that interconnect with one another via wireless links. SNs can sense, process, and communicate wirelessly in a harsh environment. WSNs are primarily used for traffic communication in a wide range of environments such as Smart Cities, healthcare, smart homes, and military areas. The implementation of WSNs in various environments such as Smart City comes with different challenges like traffic congestion. The traffic congestion that occurs in the roads within a Smart City during peak hours is normally caused by numerous vehicles traveling at the same time. As a result, traffic jams, time delay, and accidents occur during traffic congestion. This paper proposes the Priority- based Congestion Control (PBCC) algorithm which is designed by integrating the Fusion-based Intelligent Traffic Congestion Control (FITCC) algorithm and Traffic Congestion Detection (TCD) in order to reduce the on-road traffic congestion within the Smart City. In the future, simulation results will be presented to show the superiority of the proposed algorithm.

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A Priority-Based Congestion Control Algorithm for On-Road Traffic in Smart City

  • Ndivhuho Tshilongamulenzhe,
  • Deon P. Du Plessis,
  • Topside E. Mathonsi,
  • Lungisani Ndlovu

摘要

The concept of Wireless Sensor Networks (WSNs) has generated significant attention on a global scale. According to the IEEE 802.11 standard, WSNs are wireless networks composed of sensor nodes (SNs) that interconnect with one another via wireless links. SNs can sense, process, and communicate wirelessly in a harsh environment. WSNs are primarily used for traffic communication in a wide range of environments such as Smart Cities, healthcare, smart homes, and military areas. The implementation of WSNs in various environments such as Smart City comes with different challenges like traffic congestion. The traffic congestion that occurs in the roads within a Smart City during peak hours is normally caused by numerous vehicles traveling at the same time. As a result, traffic jams, time delay, and accidents occur during traffic congestion. This paper proposes the Priority- based Congestion Control (PBCC) algorithm which is designed by integrating the Fusion-based Intelligent Traffic Congestion Control (FITCC) algorithm and Traffic Congestion Detection (TCD) in order to reduce the on-road traffic congestion within the Smart City. In the future, simulation results will be presented to show the superiority of the proposed algorithm.