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Anitha, G.
- Performance Analysis of Various VANET Routing Protocols
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Wireless Communication, Vol 4, No 1 (2012), Pagination: 13-18Abstract
Vehicular Ad hoc Network (VANET) is a wireless network that is formed in the fly between a collection of cars connected by wireless links. One of the most notorious problem in VANET to ensure that established routing paths do not break before the end of data transmission. Routing algorithm is an important research field for Vehicular Ad Hoc Network. This paper discusses the merits and demerits of the routing protocols. Finally it concludes by comparing the various routing protocols such as AODV, DSR, DSDV.Keywords
Ad Hoc Networks, AODV, DSR, Routing Protocols, VANET.
- Pulse Compression Radar Using Matched Filter
Abstract Views :171 |
PDF Views:1
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Affiliations
1 ECE Department, GITAM University, IN
1 ECE Department, GITAM University, IN
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Programmable Device Circuits and Systems, Vol 4, No 4 (2012), Pagination: 202-206Abstract
The pulse radars are mainly used for range resolution. Range resolution will be improved by improving very short pulses. This can be possible by using pulse compression techniques. Pulse compression allows us to achieve the average transmitted power of a relatively long pulse, while obtaining the range resolution corresponding to a short pulse. In this paper, two analog pulse compression techniques are going to solve by analyzing the following process. The first technique is “Correlation Processor” this is mainly used in narrow band & medium band radar operations. The second technique is “stretch Processor” which is used for extremely wide band radar operations. These two are techniques are used in matched filter along with the weighted functions (windows) in receiver.Keywords
Range Resolution, LFM Modulation, Correlation Processor, Stretch Processor & Weighted (Window) Functions.- Vision Aided Autonomous Forced Landing Site Selection for UAV Using Hyperspectral Image Processing
Abstract Views :166 |
PDF Views:1
Authors
Affiliations
1 Department of Aerospace Engineering, Madras Institute of Technology, Anna University, Chennai-600044, IN
1 Department of Aerospace Engineering, Madras Institute of Technology, Anna University, Chennai-600044, IN
Source
Digital Image Processing, Vol 4, No 7 (2012), Pagination: 361-366Abstract
The crucial phases in aircraft navigation are takeoff, cruise and landing. Most of the aircrafts accidents (around 25%)happen during landing phase, that’s why it’s such an important phase of aircraft cruise. So to increase the reliability in aircraft cruise, we propose an idea for landing of aircraft using Hyperspectral imaging (HSI) sensor, which has spectral richness than spatial. Unmanned air vehicle is not currently designed to process contextual information (land use, building types, and water bodies) to assist in landing and navigation. Instead, a human operator often provides manually gathered and synthesized contextual input through control commands. We need to detect safe-landing site in unstructured terrain where the key problem is for the onboard vision system to detect a suitable place to land without the aid of a structured landmark such as a helipad. This paper is intended to provide a Hyperspectral image vision based safety mechanism for UAVs to use in case of emergency landing in safe areas. The image for landing can be obtained using onboard Hyperspectral sensor known as spectrometer. The spectra of the known object can be compared with the object in current image and continue for landing. Here we use various algorithms for classification which are used to locate the landing site.Keywords
Forced Landing, Hyperspectral Images, UAV.- Calibration and Initial Alignment of Low Cost MEMS Inertial Navigation Sensors for UAV Application
Abstract Views :209 |
PDF Views:3
Authors
Affiliations
1 Department of Aerospace Engineering, Madras Institute of Technology, Anna University, Chennai 600044, IN
1 Department of Aerospace Engineering, Madras Institute of Technology, Anna University, Chennai 600044, IN
Source
Automation and Autonomous Systems, Vol 4, No 4 (2012), Pagination: 141-146Abstract
This work deals with an simple approach to calibrate low cost six degree of freedom MEMS inertial Navigation system to be used in Unmanned Air Vehicle (UAV). The accelerometer and gyroscope are modelled with inter axis misalignment correction. To determine calibration parameters of a tri axis accelerometer at least nine equations will be required to solve for nine unknowns (3 scale factor, 3 zero bias, 3 misalignment angles). In this simple approach three new linear equations were formulated to determine the calibration parameters thereby reducing number of positions needed in multi position test. The formulated methodology for accelerometer is validated by conducting twelve position tests. All combination of positions were attempted iteratively. After identifying the singularities, the study on the results suggests that only six positions are enough to solve nine unknowns. Similar methodology was applied to calibrate tri axial Gyroscope in rate test. Rate test results were studied and analysed with standard values provided my sensor manufacturer. A strap down inertial navigation system (SINS) error model is introduced, and the observability of the SINS error model is analyzed. Then on the basis of this SINS error model and a kalman filter is used to estimate the states of the error models. Based on the analysis of computer simulation results, a fast and precision initial alignment method is proposed for SINS on stationary base.Keywords
MEMS, IMU, Calibration, INS, Alignment.- Security Model to Mitigate Black Hole Attack on Internet of Battlefield Things (IoBT) Using Trust and K-Means Clustering Algorithm
Abstract Views :148 |
PDF Views:2
Authors
Affiliations
1 Department of Computer Applications, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, IN
1 Department of Computer Applications, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, IN
Source
International Journal of Computer Networks and Applications, Vol 10, No 1 (2023), Pagination: 95-106Abstract
The Internet of Things (IoT) acts an imperative part in the Battlefield Network (BN) for group-based communication. The new technology is called Internet of Battlefield Things (IoBT) that delivers intelligence services on the battlefield to soldiers and commanders equipped with smart devices. Though it provides numerous benefits, it is also susceptible to many attacks, because of the open and remote deployment of Battlefield Things (BTs). It is more critical to provide security in such networks than in commercial IoT applications because they must contend with both IoT networks and tactical battlefield environments. Because of restricted resources, an attacker may compromise the BTs. The BT that has been seized by the adversary is called a malicious BT and it may launch several security attacks on the BN. To identify these malicious BTs, the IoBT network requires a reputation-based trust model. To address the black hole attack or malicious attack over Routing Protocol for Low Power and Lossy Networks (RPL) is a key objective of the proposed work. The proposed work is the combination of both machine learning algorithm and trust management and it is named as KmCtrust model. By removing malicious BTs from the network, only BTs participating in the mission are trusted, which improves mission performance in the IoBT network. The simulation analysis of KmCtrust model has witnessed the better results in terms of various performance metrics.Keywords
IoBT, RPL, Trust, Black Hole Attack, Multiple Regression, K-Means Clustering Algorithm, Security.Full Text
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