In a smart grid environment, wireless sensor networks (WSNs) perform a significant role in supervising and taking control decisions based on the data transferred from source to destination. The work in this paper is aimed to develop a cross-layer multi-channel MAC (CMCMAC) protocol for interference mitigation between ZigBee and WiFi operating in common 2.4GHz frequency band. In this protocol, to avoid the interference between the channels, the future interference is predicted using the hidden Markov model, based on the prediction a channel with the minimum interference is selected for data transmission to enhance the network performance. The results obtained show the enriched network performance. © 2016 IEEE.

Venkata Lakshmi Narayana K

Department of Instrumentation

School of Electrical Engineering

Vellore Campus

Vikram K

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Cross-layer multi channel MAC protocol for interference mitigation

2016 IEEE Annual India Conference (INDICON)

The advancements in the home area networks call for wireless data transmission for continuous monitoring and taking control decisions to strengthen the smart grid technologies. The wireless sensor networks (WSNs) using Zigbee, WiFi operating in 2.4GHz frequency band play a key role in the data transmission. Because of coexistence in the same frequency band, there is a need for research to develop a mechanism for avoiding interference and proper encoding for precise data retrieval. In our prior work, we have presented a cross-layer multi-channel MAC (CMCMAC) [25] protocol for WSNs for estimation and avoiding interference. In this paper we propose an algorithm, Forward Error Correction (CMCMAC-FEC) encoding technique for improving the performance of CMCMAC in order to enhance reliability in communication of the data by ZigBee nodes to the specified destination under the influence of WiFi environment. In this paper, the CMCMAC-FEC model estimates the corrupted Zigbee packets and recovers the corrupted data packets at the destination accordingly maximizing the packet delivery ratio and throughput. The results attained illustrate the enhanced network performance. © 2017 The Authors. Published by Elsevier Ltd.

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Journal	Data powered by Typeset2016 IEEE Annual India Conference (INDICON)
Publisher	Data powered by TypesetIEEE
Open Access	No