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Baghla, Seema
- A Threshold-Based Method to Detect Selfish Nodes in MANET
Abstract Views :162 |
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1 YCOE, Punjabi University, Patiala, IN
2 DAVIET, Jalandhar, IN
1 YCOE, Punjabi University, Patiala, IN
2 DAVIET, Jalandhar, IN
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Wireless Communication, Vol 3, No 11 (2011), Pagination: 816-820Abstract
A mobile ad-hoc network (MANET) is a collection of mobile nodes, which communicate over radio. These networks have an important advantage; they do not require any existing infrastructure or central administration. Therefore, mobile ad-hoc networks are suitable for temporary communication links. This flexibility, however, comes at a price: communication is difficult to organize due to frequent topology changes. Due to the lack of infrastructure and the limited transmission range of a node in a mobile ad hoc network, a node has to rely on neighbour nodes to route a packet to the destination node. So, in order to save its own resources, node can turn selfish and stops forwarding the packets of other nodes. These misbehaviours of the selfish nodes will impact the efficiency, reliability and fairness in MANET. In this paper, we propose a threshold based method to detect the selfish nodes and exclude it from the network. Finally, we will use ns-2 simulator to observe the performance of proposed algorithm in detecting selfish nodes.Keywords
MANET, AODV, Misbehaviour, Selfish Node.- Enhancement of Z-H Algorithm to Improve Thinning Rate: A Review
Abstract Views :189 |
PDF Views:4
Authors
Affiliations
1 Yadavindra College of Engineering, Punjabi Univ., Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, IN
1 Yadavindra College of Engineering, Punjabi Univ., Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, IN
Source
Research Cell: An International Journal of Engineering Sciences, Vol 18, No 1 (2016), Pagination: 53-58Abstract
Thinning of binary image processing is a fundamental and important technology. Most of the existing image thinning algorithms are based on processing the same picture multiple times, and deleting the edge points layer by layer. For an amount of information in the image, the image thinning processing is relatively slow. To address this problem, an improved thinning algorithm is proposed in this paper. In particular, this algorithm uses the depth of each point to find the deepest points, only considers the deepest points and its neighboring points to determine the point can be deleted. The thinning processing time is decreased, and the skeleton is smooth, clear and continuous.Keywords
Binary Image, Thinning, Depth of the Edge.- A Review on Probability Based Techniques for Efficient Object Tracking from Videos
Abstract Views :194 |
PDF Views:7
Authors
Affiliations
1 Yadavindra College of Engineering, Punjabi Univ. Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, IN
1 Yadavindra College of Engineering, Punjabi Univ. Guru Kashi Campus, Talwandi Sabo, Bathinda, Punjab, IN