摘要: |
Artificial intelligenee (Al) methods for traffic video analysis have been widely identified as pote ntial soluti ons for solving hard problems in in tellige nt trans port systems (ITS). To exploit the advantages of Al, dense cameras to monitor the traffic are required to be deployed along the road and at the intersections. The captured videos of these cameras should be back-hauled to the control center, acting as the inputs of the Al methods. To bear such large data traffic load and to cover long transmission range, directional communication technology can be employed, which concentrate the energy of the wireless signal in a specified di recti on to provide high data rate and long transmission range (up to hundreds of kilometers). In this paper, the communication time extension problem (CTEP) is identified when direct io nal trans missi on is applied to the dense urba n traffic surveilla nee system, where the wireless signal propagation time approximates the data transmission time. A link distance division-based time division multiple access (LDD-TDMA) protocol is proposed to address the identified CTEP. Firstly, the directional wireless communication links are classified into categories accordi ng to the link di st a nee, where no des located in the same communication ring belong to the same category. Then a link distanee aware (LDA)-based slot allocation algorithm is proposed to assign the time slots to the links. The optimal communication rings' radius is derived in closed form formula, and the minimum average links' distance is derived. Simulation results show that LDD-TDMA outperforms TDMA by 13.37% when the ring number is 4. |