• Suthir S
• Dr.S.Janakiraman

Wireless Sensor Networks (WSN) has turn out to be a significant technology with numerous potential applications. In the routing protocols that are solely intended for the applications utilized by wireless sensor networks. A fundamental issue of routing is the means by which to ingeniously make more grounded vitality utilization of the entire system and to maintain a strategic distance from the vitality gap which prompts hub disappointment or hub demise, this state influences the system to work improperly to and prompts arrange demise. Improvising routing performance is a mandatory task in any network. Here, we consider a wireless sensor network, which solves routing problems through an enhanced molecule swarm calculation – FFA (FastReactive & FastAdaptive Algm). FFA balances its energy level also in multi path routing. Concept of Q-Learning is taken into play along with FFA. FFA’s necessary parameter for each agent is selected with the help of Q-Learning. Finally, their performance has been analyzed. Our Experimental results show that, this combination of these two algorithms provide better accuracy and solving the routing issues in WSN.

Wireless Sensor Networks, FastReactive and FastAdaptive Algm, Q-Learning, Routing Protocols.

"Assess the Concert of Fast Reactive and Fast Adaptive Algorithm with Q-Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 6, page no.419-424, June-2018, Available :http://www.jetir.org/papers/JETIR1806566.pdf

"Assess the Concert of Fast Reactive and Fast Adaptive Algorithm with Q-Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 6, page no. pp419-424, June-2018, Available at : http://www.jetir.org/papers/JETIR1806566.pdf