Title :
Experimental analysis of multi-hop vehicle node CCA threshold selection for EWM transmission
Author :
Qingwen Han ; Yuebo Liu ; Le Yang ; Lingqiu Zeng
Author_Institution :
Coll. of Commun. Eng., Chongqing Univ., Chongqing, China
Abstract :
Emergency warning message (EWM) transmission insurance is one of the most interesting topics for Vehicular Cyber-physical System (V-CPS) application. A relatively low transmission requirement should improve EWM´s real-time delivery, and however, decrease reliability of packet delivery by its corresponding burst converge-cast, especially under the multi-hop condition. In this paper, a clear channel assessment (CCA) threshold selection method is proposed to ensure both real-time and reliability for EWM transmission. A series of experiments under several scenarios on the sensor network testbed evaluate its effectiveness. The experimental results show that the threshold adjusting method has a positive effect on the delivery rate. With an appropriately diminishing clear channel assessment threshold related to the packet hops, the global dissemination successful rate can be up to 73.5%, and more than 90% of the 1-hop nodes can receive the correct packet. These findings provide a practicable method to improve the dissemination performance.
Keywords :
emergency services; message passing; packet radio networks; vehicular ad hoc networks; wireless sensor networks; 1-hop nodes; CCA threshold selection; EWM transmission; V-CPS application; clear channel assessment threshold; emergency warning message transmission; intervehicle communication; multihop vehicle node; packet delivery reliability; packet hops; sensor network testbed evaluation; vehicular cyber-physical system application; Educational institutions; Interference; Real-time systems; Relays; Reliability; Roads; Vehicles; CCA; EWM; delivery ratio; inter-vehicle communication;
Conference_Titel :
Connected Vehicles and Expo (ICCVE), 2013 International Conference on
Conference_Location :
Las Vegas, NV
DOI :
10.1109/ICCVE.2013.6799916