Consistent and Proficient Algorithm for Data Gathering in Wireless Sensor Networks

Abstract

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.