Consistent and Proficient Algorithm for Data Gathering in Wireless Sensor Networks
P. Balamurugan and K. Duraiswamy
DOI : 10.3844/jcssp.2011.1400.1406
Journal of Computer Science
Volume 7, Issue 9
Problem statement: A wireless sensor network is usually deployed in a harsh geographical area to gather data that can be delivered to the remotely located base station. Sensor nodes have irreplaceable energy source, limited computational capability and limited memory. It is a challenge to maximize the use of energy of these sensor nodes to extend the network lifetime. Approach: This study proposes a Rank-Based Data Gathering Algorithm for wireless sensor networks. Sensor nodes were randomly distributed in a network field of different sizes. For every round of data communication, the algorithm steps were as follows: A set of sensor nodes or vertices were given a random rank between 0 and 1. A link formed between any two nodes if they were within each other’s transmission range. If a sensor node had the highest rank among its neighbors, then it considered an associate node, else it falls into the leaf node. Next, the associate nodes form a complete graph among them and later form a Rooted Directed Tree (RDT) after an implementation of Kruskal’s Minimum Spanning Tree algorithm and the Breadth First Search algorithm. Finally, a model that takes into account the energy when deciding what type of node a sensor was implemented. Results and Conclusion: After recording the simulation results, it is concluded that the RBDG yields a better outcome in terms of lifetime and delay per round for TDMA than other popular data gathering algorithms.
© 2011 P. Balamurugan and K. Duraiswamy. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.