• Rupinder kaur
• Amanpreet Kaur

The optimization work conducted here is based on Teaching Learning Based Optimization (TLBO). This method optimizes multiple competing parameters to obtain an optimal value which reflect the current state of a particular link from which a fog device may interact for either sending or rendering data from a cache. The paper illustrates mesh topology with which the fog infrastructure works closer to the rare life scenarios. The algorithm computed the cost of sending and receiving cache data in the Fog Zone using three parameters (Bandwidth, download rate and distance of the best route) that help us understanding the behavior of the Fog devices.

TLBO (Teaching Learning Based Optimization), optimization, caching, fog device.

"SELECTING OPTIMAL LINK IN FOG INFRASTRUCTURE USING TEACHING LEARNING BASED OPTIMIZATION (TLBO)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.401-409, April-2018, Available :http://www.jetir.org/papers/JETIR1804076.pdf

"SELECTING OPTIMAL LINK IN FOG INFRASTRUCTURE USING TEACHING LEARNING BASED OPTIMIZATION (TLBO)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp401-409, April-2018, Available at : http://www.jetir.org/papers/JETIR1804076.pdf