The Automotive Industry worldwide is considering Dedicated Short Range Communication (DSRC) as a promising technology for Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I) communication to support public safety applications, improvement of traffic flow and a number of ITS applications. Though the research on the current topic has been extensively done, yet it is not fully evaluated and analyzed through on field experiments. These wireless networks are prone to fading due to shadowing from obstacles or multipath propagation resulting in attenuation of signal at receiver whichleads to high error rates. In this paper we describe and present the results of field experiments that were conducted to evaluate various wireless communication parameters over 802.11p based WiFi network using IEEE 1609 WAVE protocols for a dedicated DSRC hardware. The parameters include delay,jitter and packet loss in DSRC based system when it is made to communicate under various channel load conditions in outdoor environment. We also evaluate and present the results of communication performance under cross channel interference in real field environment.
Vehicular ad hoc networks (VANETs) are upcoming
prominent technology in the field of communication with
vehicles. It is a combination of mobile and sensor network
features. The random change in position of vehicles in VANET
made the system more vulnerable to attacks. The most important
attack in VANETs to be considered is Black hole attack which
increases the chances for packet loss and in turn to accidents.
There is a necessity to develop the techniques to detect Black
hole attacks and reduce number of accidents. In this paper, a
technique called “Detection of Black hole in VANET using
AODV (DBVANETuAODV)” is proposed to find and prevent
Black hole attack and thereby reducing occurrence of accidents.
The proposed solution is implemented using AODV Routing
protocol in VANET.The experiments are conducted with SUMO
and NS2 simulators to depict network environment in an
inexpensive way. The proposed method “DBVANETuAODV” is
compared with AODV with black hole and the result shows the
proposed method provides a significant improvement.
Abstract-he Internet of Things(IoT) has become a hot topic in the present tech-driven world. Internet of Things is one of the promising technology used to control objects connected to Internet through IP address, which enables objects to collect and exchange data. Internet of Things is expanding itself into different areas. Home Automation is one of the trend in application of IoT for realizing smart cities. In the paper, we are developing a system which will control through MQTT protocol. MQTT has been utilized as a platform to provide IoT services which will monitor the applications and generate alerts or take intelligent decisions using concept of IoT. Nodemcu was used as aIoT end device connecting relays to the platform via wifi channel. Home scenario is created and designed IoT messages satisfying the scenario requirement. We also implemented Automation through HTML web page. A main contribution of this paper is that it summarizes uses of Intenet of Things in Home Automation with Artificial Intelligence to monitor and control the appliances.
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