Bio-inspired smog sensing model for wireless sensor networks based on intracellular signalling

The progression of wireless sensor networks has been formulated a new orientation of research particularly in the monitoring and surveillance areas. Smog pollution is a threat throughout the world presently. Smog affects on public along with plants life. This article proposes a wireless sensor network based smog sensing model for a city by mimicking of biological intracellular signalling. The proposed model is designed and simulated using QualNet 7.1. The several performance features like energy consumption, signals transmission, data transmission of AODV, Bellman-Ford and IERP routing protocols have been evaluated through the proposed model. The simulation result shows that the AODV routing protocol is at least 18.73% and utmost 6.14% energy efficient than Bellman-Ford and IERP routing protocol subsequently. Finally, the merits of the proposed model have been addressed.