Volume 18, No. 6, 2021
Enhancing The Performance Of 6lowpan For WSN Using Soft Computing ANFIS Technique
N.Rahul Pal , S.P.Sheety
Abstract
WSN is gaining its idolization due to its advancement in commutation and composite connectivity. Connecting devices to the internet and transferring data packets via the internet over different heterogamous objects plays a crucial task in today’s wireless communication. The enhancement of 6LoWPAN was a significant resolution for dealing with existing wireless communication. As these devices are restrained to low power, less memory, and low –cost. Low bit-rate obtaining low- delay and reduction of energy in a network are becoming essential factors in the field of WSN. In this paper, soft computing technique like ANFIS is used for fine-tuning of parameters like Beacon interval, Back-off-Tx, and Buffer-size to minimize the energy consumption and reduce delay for the 6LoWPAN protocol. This approach used a fuzzy interface system, an experiment has made by using a cooja simulator along with Mat-lab resulted that when compared with De-facto, the Fuzzy Soft Computing technique reduced Power to 5.21%and Delay to 11.765% similarly when we compare De-facto to ANFIS the Power has minimized to 8.36% and Delay is reduced to 12.87%.
Pages: 5427-5439
Keywords: IoT aims to incorporate real-world objects on the internet so that objects can establish a connection and are used for transferring the data packets through the internet to reach the destination in a self-regulating manner.