Informatics Publishing Limited

Arun Malik ¹, Babita Pandey ²

Affiliations
1 Department of Computer Science and Engineering, Lovely Professional University, Jalandhar - 144411, Punjab, IN
2 Department of Computer Applications, Lovely Professional University, Jalandhar - 144411, Punjab, IN

Abstract

Objectives: The main objective of this paper is to find the best method for collecting the data for VANET in terms of communication overhead, average latency and packet delivery ratio. Methods/Analysis: OMNet++ is used to compare the existing techniques for data collection in VANET at single RSU. Performance Index is calculated by finding the Communication Overhead (CO), average latency and Packet Delivery Ratio (PDR) for each scheme of data collection. The scheme with higher value of performance index will outperform others. Simulation parameters like dimension of space, minimum velocity and maximum velocity of vehicles are kept constant. Findings: Comparison of different Data Collection Schemes is done on the basis of performance index. Performance Index shows the effectiveness of data collection schemes. PI is based on various parameters like CO, Latency, and PDR. PI of a data collection scheme decreases when CO increases and vice-versa. So, if number of messages will increase CO will increase and hence will decrease the PI. PI of a data collection scheme decreases when latency increases and vice-versa. So, if time delay is more latency will increase and hence will decrease the PI. PI of a Data Collection Schemes increases when PDR increases and vice-versa. So, if number of packets received by a destination will be more PDR will increase and hence will increase the PI. Analysis of results show that PI of VIB-CP is the best among all DCSs, as it has less CO, low latency, and high PDR. Novelty/Improvement: Comparison of heterogeneous Data Collection Schemes is made on same parameters and their performance index is measured. Out of all existing schemes it is analyzed that VIB-CP outperforms.

Keywords

Communication Overhead (CO), Data Collection Schemes (DCS), Data Mining (DM), Packet Delivery Ratio (PDR), Performance Index (PI)

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Arun Malik ¹, Sanjeev Kumar ²

Affiliations
1 Asian Institute of Technology, Dhaurang, IN
2 Mullana University, Mullana, IN

Abstract

Mobile Ad Hoc Network (MANET) is a self-organizing, infrastructure-less, multi-hop network. The characteristic such as the wireless and distributed nature of MANETs poses a great challenge to system security designers. This paper describes the various challenges to the security of mobile ad-hoc network and their relevant solutions.

Keywords

Attacks, MANET, Security, Vulnerability.

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Arun Malik ¹, Isha ²

Affiliations
1 Lovely Professional University, Department of Computer Science and Engg, Phagwara, IN
2 Lovely Professional University, Department of Computer Science and Engg, Phagwara, IN

Abstract

In Future vehicles are equipped with recognizing, computing and communication potentials. Different kind of devices such as OBU and AU in a vehicle will have to continuously reciprocate the available data with other vehicles on the movement patterns and provide cooperation to ensure safety and ease in VANET. Specific Data like hazardous situations (like collision), speed limit, curve speed warning ,work zone warning, accidents, lane-changing etc play a vital role for applications related to safety in Vehicular Ad hoc Network. Collecting and diffusing such types of data is challenging because of their delay sensitive nature. This paper compares a model based on intelligent software agent that execute forward (collect/cache and diffuse) and retrieve (collect/cache) operation on collected data based on data emergency and needfulness with the existing robust broadcast protocol scheme. Result of simulation shows that collection and diffusion of data using intelligent software agent scheme performs better than the robust broadcast protocol scheme in terms of bandwidth utilization, packet delivery ratio and latency.

Keywords

Intelligent Software Agent Scheme (ISA), Robust Broadcast Protocol Scheme (RBP), VANET.

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Arun Malik ¹, Babita Pandey ²

Affiliations
1 Department of Computer Science and Engineering, Lovely Professional University, Jalandhar - 144411, Punjab, IN
2 Department of Computer Applications, Lovely Professional University, Jalandhar - 144411, Punjab, IN

Abstract

 Objectives: The major focus of this research paper is to propose an Intelligent Authentication based Vehicle Initiated Broadcast-Dynamic Path (IAVIB-DP) data collection scheme with the aim of increasing the effectiveness of existing Vehicle Initiated Broadcast-Complete Path (VIB-CP) data collection scheme which is considered to be the best and most commonly used way that is opted for data collection in VANET and is evaluated in terms of packet delivery ratio, average latency and communication overhead. Methods/Analysis: Simulation is conducted by using OMNet++ to compare the performance of IAVIB-DP with one of the best data collection scheme working on single RSU, VIB-CP. Performance Index (PI) is measured by evaluating the Packet Delivery Ratio (PDR), average latency and Communication Overhead (CO) for proposed and existing scheme of collecting data. Best scheme will be decided on the basis of calculated PI. Other parameters for simulation such as the minimum speed, space dimensions and the maximum speed of moving vehicles remain fixed. Findings: VIB-CP and IAVIB-DP Data Collection Schemes (DCSs) are compared and analysis is done on the calculated value of Performance Index. PI decides whether a data collection scheme is effective or not. PI is calculated on different factors like PDR, Latency and CO. The simulation results show that PI of proposed IAVIB-DP data collection scheme is more as compared to PI of VIBCP, as it has high PDR, low latency and less CO. Application/Improvements: VIB-CP and IAVIB-DP are compared on same factors and are used for PI calculation. On the basis of the simulation results it is evaluated that IAVIB-DP performs better.

Keywords

Communication Overhead (CO), Data Collection Schemes (DCSs), Packet Delivery Ratio (PDR), Performance Index (PI), Road Side Unit (RSU)

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