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
Keywords
Related Articles
- EP ID EP650039
- DOI 10.24297/ijct.v7i2.3456
- Views 111
- Downloads 0
ENVIRONMENTAL IMPLICATIONS OF CELL PHONES PENETRATION AND DISPOSAL IN KENYA
Kenya has over six million active mobile subscribers who may at some point want to replace or  get rid of old mobile phones. A big number of the mobile phones were recently switched off for not being genuine without...
A Review On Green Cloud Computing
With the increasing call for green cloud, reducing energy consumption has been an important requirement for cloud resource providers not only to reduce operating costs, but also to improve system reliability. Dynamic vol...
ALLOCATION OF HETEROGENOUS CLOUDLETS ON PRIORITY BASIS IN CLOUD ENVIRONMENT
Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal utilization of...
Comparative Analysis of Kohonen-SOM and K-Means data mining algorithms based on Academic Activities
With the increasing demand of IT and subsequent growth in this sector, the high- dimensional data came into existence. Data Mining plays an important role in analyzing and extracting the useful information. The key infor...
HMotion: An Algorithm for Human Motion Detection
Computer memory is expensive and the recording of data captured by a webcam needs memory. In order to minimize the memory usage in recording data from human motion as recorded from the webcam, this algorithm will use mot...