| Title | Swarm Intelligent WSN for Smart City |
|---|---|
| ID_Doc | 44913 |
| Authors | Nikam, SS; Mane, PB |
| Title | Swarm Intelligent WSN for Smart City |
| Year | 2017 |
| Published | |
| Abstract | The smart city uses digital, computer, and communication technologies to enhance quality and performance of urban services by reducing costs and resource consumption. The smart city aims to drive economic growth and improve the living standards using state-of-the-art technology. Evolution of wireless sensor networks has been started from the idea that small wireless sensors can be used to gather information from the physical environment, in many situations ranging from monitoring the environmental, surveillance for security, health care, automated building control, traffic control, and object tracking. Sensors help each other to relay the information to the base station. The existing work includes simulation of routing protocols for WSNs in smart city and some hardware implementation. This paper presents a swarm intelligent routing algorithm for wireless sensor network to implement smart city. The particle swarm optimization (PSO) algorithm being most efficient is chosen for implementation (Yamille dl valle et al. in IEEE Trans Power Syst 12 (2): 171-195, 2008 [1]). This paper has presented the implementation of prototype for smart homes and solid waste management system, and has also proposed the solution for street light intensity control and traffic congestion detection. For smart homes, fire detection, gas leakage detection, temperature control, and light intensity control are considered, while the designed solid waste control system is capable of detecting garbage level in dustbin and conveys it to the central monitoring system. The implemented prototypes for smart homes and waste management show that it will lead toward improvement of the living standard of the people living in smart city by way of energy conservation, health, and hygiene. |
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