ANFIS Based ICMP-RPL for IOT in enhancing the performance and Network Lifetime
In the modern era with an advancement of ICT tools in IOT has driven for automation of Network framework deployed in a global environment. Things/objects seamlessly interact among themselves in a heterogeneous network using available communication protocols for associating with real world environment by minimizing the human intervention. In this context performance and network life expectancy are ideal for dynamic environmental conditions. This paper lucidly depicts the execution of ANFIS based ICMP-RPL for enhancing the performance and network life time in IOT. The suggested adopts Fuzzy Inference System in optimizing the energy resources and to improve network expectancy. Experimental results acquired from Matlab and Cooja simulator specifies power, delay ,etx decreased by 10.51%, 7.74% , 7.16% respectively and PDR increased by 1.77%.