Abstract: VANET (Vehicular Adhoc Network) research field is growing very fast. It has to serves a wide range of applications under different scenario (City, Highway). It has various challenges to adopt the protocols that can serve in different topology and scenario. This paper presents a comparative study of the adhoc routing protocols. The main objective of Vehicular Ad-Hoc Networks is to build a robust network between mobile vehicles so that vehicles can talk to each other for the safety of human beings. VANET hits the protocol's strength due to its highly dynamic features, thus in testing a protocol suitable for VANET implementation we have selected different routing protocols In this paper, an attempt has been made to compare five well know protocols AODV, AOMDV, OLSR, DSR and GSR by using two performance metrics packet delivery ratio and average end to end delay. The comparison has been done by using simulation tool NS2 which is the main simulator, NAM (Network Animator) and excel graph whi

• Publication Date: 12-Mar-2012
• DOI: 10.15224/978-981-07-1847-3-898
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Abstract: Image Segmentation based on K-means algorithm is presented in GUI (Graphical User Interface). The K-means algorithm and adaptive k-means clustering is used to obtain high performance and efficiency in image segmentation. In addition, it has a resolving capability of one image into different planes by selecting the number of clusters using datasets of image. And also the advance of K-means is adaptive K-means which will give the frame size and the absolute value between the means of an image. The iteration time on image segmentation is determined by using Adaptive k-means clustering. Adaptive k-means is used for better image segmentation that has been shown in MATLAB Simulation.

• Publication Date: 03-Jun-2011
• DOI: 10.15224/978-981-07-1847-3-1027
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