• Darshna Manani
• Prof. Gayatri S Pandi

One of the emerging areas in the field of Information Technology (IT) is Cloud Computing. It is internet based technology which emphasizes its utility and follows pay-as-you-go model. Load balancing is a critical issue in internet of things. It is a technique which uses multiple nodes and distribute dynamic workload among them so that no single node is overloaded. The main objective of this paper is to improve load balancing using particle swarm optimization and ant colony optimization algorithm. This review helps in analyzing the issues of existing load balancing algorithms and gives a comparison among these algorithm on the basis of different qualitative metrics like spectrum efficiency, performance measurement, time complexity etc.

Internet of Things; Load Balancing; ACO; PSO; Security

"Load Balancing Approach in Internet of Things Using ACO and PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.119-124, April-2019, Available :http://www.jetir.org/papers/JETIR1904I21.pdf

"Load Balancing Approach in Internet of Things Using ACO and PSO", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp119-124, April-2019, Available at : http://www.jetir.org/papers/JETIR1904I21.pdf