VANET is a critical and demanding mission. Numerous methods exist, but none profits in a distributed fashion from physical layer parameters. This paper describes a method that enables individual nodes to estimate node density, independent of beacon messages, and other infrastructure-based information, of their surrounding network. In this paper, a discrete simulator of events was proposed to estimate the average number of simultaneously transmitting nodes, a functional channel model for the VANETs system, and a method of estimating node density. Proposed based on some equations to allow individual nodes to estimate their surrounding node density in real-time Optimized Node Cluster Algorithm with Network Density in which the composition of a cluster is triggered adjacent, these traffic signals is the same and has been predicated mostly on the position a vehicle might well take after crossing. Additional Ordered Tracking with Particle -Filter Routing in which receives simultaneous signal intensity versus node transmission and node density transmission. Conduct multiple location-related analyzes to test the plausibility of the neighboring single-hop nodes on mobility data. The system is designed to operate in the most complex situations where nodes have little knowledge of network topology and the results, therefore, indicate that the system is fairly robust and accurate.

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A Mobile Ad-hoc Network (MANET) is a constantly self-configuring, infrastructure-less network of mobile devices where each device is wireless, moves without restraint and be a router to put across traffic unassociated to its own use. Every device must be prepared to constantly sustain the information obligatory for routing the traffic. And this is the main challenge in building a MANET. Such networks may be self operating or linked to a larger internet and may have one or multiple different transceivers between nodes resulting in a highly dynamic and autonomous topology. The first focus is on MANET attacks followed by detection of the malicious node from MANET via Polynomial-Reduction Algorithm. Although scientists have assessed many algorithms for the detection and rectification of the malicious nodes in the MANETs, the problem still persists. Due to the unprecedented growth in technology, the unidentified vulnerabilities are also intensifying. Therefore, it is very crucial to come up with some ground-breaking ideas to prevent the MANET. In this paper we are used NS2 simulator to implementing malicious nodes in MANET.

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This paper proposes the real time implementation of CDMA, a multiple access technique, which brings forth the complete bandwidth usage by spreading the data of same transmitted power, over the whole bandwidth thereby ensuring safe communication and preventing the occurrence of jamming. GNU Radio is a software defined radio which puts experiments into practice using software rather than the normal hardware implementation. Blocks for data spreading, code despreading with and without code tracking are created using Zero Correlation Zone code (ZCZ, a combination of ternary codes that is 1, 0 and -1 which is specified in the program). Thus the real time implementation of CDMA checks the feasibility of an asynchronous multiuser communication among users with good results.

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