An energy aware secure wireless network using particle swarm optimization

• Published in: 2018 Majan International Conference (MIC) pp. 1 - 6
• Main Authors: Stephen, K Vimal Kumar, Mathivanan, V
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-03-2018
• Subjects: Birds; Clustering algorithms; clusters; Energy consumption; mobile sink; Neural networks; Optimization; Particle swarm optimization; Sensor Networks; Wireless sensor networks
• DOI: 10.1109/MINTC.2018.8363148

A Wireless sensor networks (WSN) typically has no infrastructure. It is composed of number of sensor nodes working together to monitor an environment to obtain data about it. Structured and unstructured are the two types of WSNs. An unstructured WSN contains a dense collection of sensor nodes. These sensors are small, computing resources, with limited processing and they are inexpensive. It can sense, measure, and gather information from the environment based on some local decision process; they can transmit the sensed data to the user. Security and lifetime of a sensor node in a network plays an important role. Data Securing is very important as these networks usually are put in dangerous scenarios and the sensor nodes in these networks have very limited battery life. Authorizing a new node involves a major work in the fundamental build for a secure WSN. In this paper, we propose a mobile sinks along with Particle Swarm Optimization for combined WSN. The new algorithm outperforms the normal convergence algorithm both in efficiency and in the quality of solutions.