Impact on Power Consumption of Zigbee based Home Automation Network using Various Traffic

Gurjit, Kaur; Malik, Kunal; Kiran, Ahuja

doi:10.14257/ijfgcn.2013.6.6.03

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…The 802.15.4 standard defines data link layer (DLL) and physical layer (PHY) protocols for supporting sensor devices with minimal power consuming and operating in limited area. The two layers provide the reliable communication between the nodes of the network by avoiding the collisions to improve the efficiency [6]. The DLL is divided into two sublayers, the medium access control (MAC) and logical link control (LLC) sublayers.…”

Section: 3mentioning

confidence: 99%

A Mac Protocol Implementation for Wireless Sensor Network

Bhar

2015

Journal of Computer Networks and Communications

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IEEE 802.15.4 is an important standard for Low Rate Wireless Personal Area Network (LRWPAN). The IEEE 802.15.4 presents a flexible MAC protocol that provides good efficiency for data transmission by adapting its parameters according to characteristics of different applications. In this research work, some restrictions of this standard are explained and an improvement of traffic efficiency by optimizing MAC layer is proposed. Implementation details for several blocks of communication system are carefully modeled. The protocol implementation is done using VHDL language. The analysis gives a full understanding of the behavior of the MAC protocol with regard to backoff delay, data loss probability, congestion probability, slot effectiveness, and traffic distribution for terminals. Two ideas are proposed and tested to improve efficiency of CSMA/CA mechanism for IEEE 802.15.4 MAC Layer. Primarily, we dynamically adjust the backoff exponent (BE) according to queue level of each node. Secondly, we vary the number of consecutive clear channel assessment (CCA) for packet transmission. We demonstrate also that slot compensation provided by the enhanced MAC protocol can greatly avoid unused slots. The results show the significant improvements expected by our approach among the IEEE 802.15.4 MAC standards. Synthesis results show also hardware performances of our proposed architecture.

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Section: 3mentioning

confidence: 99%

A Mac Protocol Implementation for Wireless Sensor Network

Bhar

2015

Journal of Computer Networks and Communications

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A novel ensemble learning approach for fault detection of sensor data in cyber-physical system

Nandhini,

Lakshmanan

2023

IFS

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Cyber-physical systems (CPS) play a pivotal role in various critical applications, ranging from industrial automation to healthcare monitoring. Ensuring the reliability and accuracy of sensor data within these systems is of paramount importance. This research paper presents a novel approach for enhancing fault detection in sensor data within a cyber-physical system through the integration of machine learning algorithms. Specifically, a hybrid ensemble methodology is proposed, combining the strengths of AdaBoost and Random Forest with Rocchio’s algorithm, to achieve robust and accurate fault detection. The proposed approach operates in two phases. In the first phase, AdaBoost and Random Forest classifiers are trained on a diverse dataset containing normal and faulty sensor data to develop individual base models. AdaBoost emphasizes misclassified instances, while Random Forest focuses on capturing complex interactions within the data. In the second phase, the outputs of these base models are fused using Rocchio’s algorithm, which exploits the similarities between faulty instances to improve fault detection accuracy. Comparative analyses are conducted against individual classifiers and other ensemble methods to validate the effectiveness of the hybrid approach. The results demonstrate that the proposed approach achieves superior fault detection rates. Additionally, the integration of Rocchio’s algorithm significantly contributes to the refinement of the fault detection process, effectively leveraging the strengths of AdaBoost and Random Forest. In conclusion, this research offers a comprehensive solution to enhance fault detection capabilities in cyber-physical systems by introducing a novel ensemble framework. By synergistically combining AdaBoost, Random Forest, and Rocchio’s algorithm, the proposed methodology provides a robust mechanism for accurately identifying sensor data anomalies, thus bolstering the reliability and performance of cyber-physical systems across a multitude of critical applications.

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Impact on Power Consumption of Zigbee based Home Automation Network using Various Traffic

Abstract: Abstract

Cited by 2 publications

References 11 publications

A Mac Protocol Implementation for Wireless Sensor Network

A Mac Protocol Implementation for Wireless Sensor Network

A novel ensemble learning approach for fault detection of sensor data in cyber-physical system

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