A Collaborative Framework for Avoiding Interference Between Zigbee and WiFi for Effective Smart Metering Applications

Journal Title: Elektronika - Year 2018, Vol 22, Issue 1

Abstract

Energy management is one of the foremost priorities of research in many countries across the world. The introduction of modern information and communication technologies (ICT) are transforming the existing power grid, towards a more distributed and flexible “Smart Grid” (SG). The wireless sensor networks (WSN) are considered for data communication and are generally, incorporated with actuators to implement the control actions remotely. The wireless technologies like ZigBee (for automation), WiFi (for internet) and Bluetooth (entertainment) work in the 2.4GHz band. The coexistence of different wireless technologies working in the common area is unavoidable. Hence, this phenomenon degrades the performance of each other, due to the interference phenomenon. The wireless nodes with high energy had a great influence on the performance of the nodes working with low energy. Under the influence of interference, the low-power nodes experience the uncertain sleep-wake scheduling and increased delays in channel occupation. Interference also results in, high packet error rates (PER), decreased throughput, and high energy consumption. Hence for overcoming the above problems, A collaborative framework for an effective interference management and its avoidance is proposed in this paper. The framework proposed assures the effective ZigBee communication by systematic channel scheduling operating even under the influence of Wi-Fi. The work proposed performs better even under extreme interference conditions and the results obtained shows enriched performance.

Authors and Affiliations

Vikram K. , Sarat Kumar Sahoo

Keywords

Related Articles

Drift Free Variable Step Size Perturb and Observe MPPT Algorithm for Photovoltaic Systems Under Rapidly Increasing Insolation

The characteristic of a Photovoltaic (PV) panel is most affected by the incident solar insolation temperature, shading, and array configuration. Maximum power point tracking (MPPT) algorithms have an important role in ha...

Modular Environment for Development and Characterization of Tunable Energy Harvesting Systems

This paper presents the design and development process for an electromagnetic self-tuned vibrational energy harvester prototype. Most state-of-the-art publications present non-tunable or manually tunable vibrational ener...

Epilepsy Detecting and Halting Mechanism Using Wireless Sensor Networks

Epilepsy is a condition that affects thousands of people worldwide. In the laboratory setting, it becomes difficult to monitor patients and analyze when the next seizure would recur. Although algorithms have been propose...

Active Comb Filter Using Voltage Differencing Transconductance Amplifiers

A new active comb filter employing Voltage Differencing Transconductance Amplifiers (VDTAs) is proposed to eliminate the selected frequencies of different signals. The proposed filter is based on VDTAs, capacitors and re...

Impact of Sectorization/Vehicular Traffic on Minimum Cell Size for Information Capacity Increase in Cellular Systems

In this paper results of mathematical analysis supported by simulation are used to study the impact of sectorization/vehicular traffic on the theoretical limit for cell size radius reduction in cellular wireless communic...

Download PDF file
  • EP ID EP368194
  • DOI 10.7251/ELS1822048V
  • Views 74
  • Downloads 0

How To Cite

Vikram K. , Sarat Kumar Sahoo (2018). A Collaborative Framework for Avoiding Interference Between Zigbee and WiFi for Effective Smart Metering Applications. Elektronika, 22(1), 48-56. https://europub.co.uk/articles/-A-368194