Dynamic Clustering Protocol for Data Forwarding in Wireless Sensor Networks
Journal Title: INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY - Year 2013, Vol 7, Issue 2
Abstract
Energy being the very key concern area with sensor networks, so the main focus lies in developing a mechanism to increase the lifetime of a sensor network by energy balancing. To achieve energy balancing and maximizing network lifetime we use an idea of clustering and dividing the whole network into different clusters. In this paper we propose a dynamic cluster formation method where clusters are refreshed periodically based on residual energy, distance and cost. Refreshing clustering minimizes workload of any single node and in turn enhances the energy conservation. Sleep and wait methodology is applied to the proposed protocol to enhance the network lifetime by turning the nodes on and off according to their duties. The node that has some data to be transmitted is in on state and after forwarding its data to the cluster head it changes its state to off which saves the energy of entire network. Simulations have been done using MAT lab. Simulation results prove the betterment of our proposed method over the existing Leach protocol.
Authors and Affiliations
Deepali Virmani, Akshay Jain, Ankit Khandelwal, Divik Gupta, Nitin Garg
AN APPROACH TO GENERATE MST WITHOUT CHECKING CYCLE
Abstract: A minimum spanning tree of an undirected graph can be easily obtained using classical algorithms by Prim or Kruskal. MST generation is a NP hard problem. Now this paper represents an algorithm to find minimum s...
Evaluating the Performance of Modified Watershed Algorithm Based on DBMF and DT.
The image segmentation; segments a given image into separate regions and objects. It is widely used in various vision applications like face detections, motion detection etc. It has been found that the noise has affected...
EVALUATION OF SOFTWARE METRICS FOR SOFTWARE PROJECTS
Software metrics are developed and used by the many software organizations for the evaluation and confirmation of good code, working and maintenance of the software product. Software metrics measure and identify various...
Wavelet-Local binary pattern based face recognition
Over the last twenty years face recognition has made immense progress based on statistical learning or subspace discriminant analysis. This paper investigates a technique to reduce features necessary for face recognition...
SOFTWARE CODE CLONE DETECTION MODEL USING HYBRID APPROACH
The aspiration of this study is to understand and analyze the concept of software Cloning and its detection. Software cloning is an acuity in which source code is duplicated. Software cloning and its detection is one of...