DocumentCode
713010
Title
Embedded surveillance system for vehicular networks
Author
Daniel, Alfred ; Paul, Anand ; Rajkumar, Newlin
Author_Institution
Kyungpook Nat. Univ., Daegu, South Korea
fYear
2015
fDate
26-27 Feb. 2015
Firstpage
1247
Lastpage
1252
Abstract
In general the term surveillance delineates monitoring or observing the behavior or activity. In view of this, with respect to transportation network the role of effective intelligent surveillance system is indispensable. While referring to transportation system, the task of surveillance system application should not be limited to vehicle behavior analysis. However, it should be extended to provide notification and safety measures for vehicles. In order to achieve the above criterion, a hardware module has been designed for the vehicles which shares the real time traffic related information to Traffic Management Center (TMC). The real time information can be used to VANET (vehicular ad hoc network) applications. Furthermore, a quantitative analysis was made in order to calculate the traffic management in TMC. In addition, we test the results by simulating it in NS2. In this respect we have considered three different cases, Emergency vehicles, VIP vehicles and normal vehicles. It is inferred from the results that end-to-end delay for emergency vehicles in vehicular environment is considerably less as compared to VIP and normal vehicles.
Keywords
surveillance; vehicles; vehicular ad hoc networks; NS2; TMC; VANET; VIP vehicles; embedded surveillance system; emergency vehicles; intelligent surveillance system; normal vehicles; traffic management center; vehicular ad hoc network; vehicular networks; Androids; Delays; Humanoid robots; Real-time systems; Surveillance; Vehicles; Zigbee; Embedded device; Surveillance system; TMC; V2I and I2I; VANET;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics and Communication Systems (ICECS), 2015 2nd International Conference on
Conference_Location
Coimbatore
Print_ISBN
978-1-4799-7224-1
Type
conf
DOI
10.1109/ECS.2015.7124784
Filename
7124784
Link To Document