Analysis of k-Coverage in Wireless Sensor Networks
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2011, Vol 2, Issue 9
Abstract
Recently, a concept of wireless sensor networks has attracted much attention due to its wide-range of potential applications. Wireless sensor networks also pose a number of challenging optimization problems. One of the fundamental problems in sensor networks is the coverage problem, which reflects the quality of service that can be provided by a particular sensor network. The coverage concept is depending from several points of view due to a variety of sensors and a wide-range of their applications. One fundamental issue in sensor networks is the coverage problem, which reflects how well a sensor network is monitored or tracked by sensors. In this paper, we formulate this problem as a decision problem, whose goal is to determine the degree of coverage of a sensor network, which is covered by at least k sensors, where k is a predefined value. The sensing ranges of sensors can be same or different. Performance evaluation of our protocol indicates that degree of coverage of wireless sensor networks can be determined within small period of time. Therefore energy consumption of the sensor networks can be minimized.
Authors and Affiliations
Rasmi Ranjan Patra , Prashanta Kumar Patra
Keywords
Related Articles
- EP ID EP97503
- DOI -
- Views 93
- Downloads 0
Developing a Framework for Analyzing Heterogeneous Data from Social Networks
Due to the rapid growth of internet technologies, at present online social networks have become a part of people’s everyday life. People shares their thoughts, feelings, likings, disliking and many other issues at social...
Printed Arabic Text Recognition using Linear and Nonlinear Regression
Arabic language is one of the most popular languages in the world. Hundreds of millions of people in many countries around the world speak Arabic as their native speaking. However, due to complexity of Arabic language, r...
High Accuracy Arabic Handwritten Characters Recognition Using Error Back Propagation Artificial Neural Networks
This manuscript considers a new architecture to handwritten characters recognition based on simulation of the behavior of one type of artificial neural network, called the Error Back Propagation Artificial Neural Network...
Comparative Analysis of Raw Images and Meta Feature based Urdu OCR using CNN and LSTM
Urdu language uses cursive script which results in connected characters constituting ligatures. For identifying characters within ligatures of different scales (font sizes), Convolution Neural Network (CNN) and Long Shor...
Semi Supervised Method for Detection of Ambiguous Word and Creation of Sense: Using WordNet
Machine Translation, Information Retrieval and Knowledge Acquisition are the three main applications of Word Sense Disambiguation (WSD). The sense of a target word can be identified from a dictionary using a ‘bag of word...