Application of Swarm Intelligence Based Routingprotocols for Wireless Adhoc Sensor Network

Abstract

The enormous growth of wireless sensor network (WSN) research has opined challenges about their ease in implementation and performance evaluation. Efficient swarm intelligence based routing protocols that can be used to obtain the application specific service guarantee are the key design issues in designing a WSN model. In this paper, an experimental testbed is designed with 100 sensor nodes deployed in a dense environment to address the scalability and performance issues of WSN. In this paper, we use Flooded Piggyback (FP) and SC-MCBR ant colony based routing along with AODV and MCBR Tree in order to design an efficient WSN model. Finally, simulation results are presented with various performance measures to understand the efficacy of the proposed WSN design.

Keywords

• Wireless sensor network
• Ant-colony
• Swarm intelligence
• Energy
• Latency
• Throughput