Fault Tolerance and Energy Efficient Clustering Algorithm in Wireless Sensor Networks: FTEC

Jassbi, Somaye Jafarali; Moridi, Elham

doi:10.1007/s11277-019-06281-6

Cited by 18 publications

(4 citation statements)

References 23 publications

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“…Finally, network coverage sends the collected data and signals to the monitoring center in a dynamic transmission mode. In practical applications, wireless sensor networks do not need stable and specialized network support and can work quickly in any environment [ 30 ]. According to our research in the literature, the frequency of use of wireless sensor networks in various fields is shown in Figure 3 .…”

Section: Analysis Of Embedded Cloud Computing Data Monitoring System ...mentioning

confidence: 99%

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment

Yang

Zhang

Liu

et al. 2023

Sensors

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With the construction and development of modern and smart cities, people’s lives are becoming more intelligent and diversified. Surveillance systems increasingly play an active role in target tracking, vehicle identification, traffic management, etc. In the 6G network environment, facing the massive and large-scale data information in the monitoring system, it is difficult for the ordinary processing platform to meet this computing demand. This paper provides a data governance solution based on a 6G environment. The shortcomings of critical technologies in wireless sensor networks are addressed through ZigBee energy optimization to address the shortage of energy supply and high energy consumption in the practical application of wireless sensor networks. At the same time, this improved routing algorithm is combined with embedded cloud computing to optimize the monitoring system and achieve efficient data processing. The ZigBee-optimized wireless sensor network consumes less energy in practice and also increases the service life of the network, as proven by research and experiments. This optimized data monitoring system ensures data security and reliability.

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Section: Analysis Of Embedded Cloud Computing Data Monitoring System ...mentioning

confidence: 99%

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment

Yang

Zhang

Liu

et al. 2023

Sensors

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“…A fault tolerance and energy‐efficient clustering algorithm (FTEC) is proposed to detect the fault and energy‐efficient‐based clustering in WSN based on hierarchical fault management with neighbor cooperation 28 . The FTEC algorithm employs the hybrid energy‐efficient distributed clustering (HEED) algorithm for selecting a BCH.…”

Section: Classification Of Node Faults In Wsnmentioning

confidence: 99%

Comprehensive analysis on sensor node fault management schemes in wireless sensor networks

Babu

Kumar

2022

Int J Communication

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Wireless sensor networks (WSNs) are ad hoc networks that consist of tiny sensor nodes deployed in the sensed environment to monitor the natural phenomenon and send the monitored data to the base station for further processing. Due to the unfriendly deployment of the sensor nodes and their resource-constrained nature, the sensor nodes are subjected to frequent node failure. Detecting sensor node failures and recovering them is a major challenge in WSN. Due to the failure of the nodes in WSN, there exist various problems such as a change in the network topology, communication link failure, a disjoint partition of the network, and failure to transmit the data to the sink. Various authors have proposed various techniques to detect and recover from node failure in the WSN. In this paper, a comprehensive analysis of the various node failure and node recovery techniques has been carried out to highlight the advantages and limitations along with the open research challenges for addressing the failure of the nodes in an effective manner.

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“…Here, we focus on researches that took up two essential fields of enhancing LEACH clustering and fault-tolerance algorithms. Jassbi and Moridi [20], the authors developed a hybrid powerefficient distributed algorithm (HEED) by adding fault tolerance technique to the base station's decision on faults to take appropriate action and isolated defective nodes and take it as a value by using a weighted median process, and they can increase the corrected data rate. Salem and Shudifat [21], the authors attempted to resolve the limitations of WSN, low-cost and low-power tools that affect power exchange rates by enhancing LEACH protocol in which LEACH is extended by defining a cluster head at the shortest distance to the base station.…”

Section: Related Workmentioning

confidence: 99%

Increasing life-time of wireless sensor network using energy-efficient and fault tolerance algorithms

Sabah

Croock

2021

IJEECS

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Energy-efficiency ofwireless sensor networks (WSN) becomes an essential issue in the research area. This is because of the energy constraints in WSN that depend on a battery, which is difficult to replace or recharge; therefore, multiple clustering algorithms were proposed to achieve efficiency in using the available energy as much as possible. This paper proposed energy-efficient and fault-tolerance algorithms that enhance thelow energy adaptive clustering hierarchy (LEACH) protocol by three algorithms. The first focuses on selecting the best cluster head and the second focuses on minimizing the required nodes within the same cluster. Simultaneously, the third fault tolerance algorithm uses software engineering techniques like sleep schedules to increase network lifetime as much as possible. The testing results of the proposed algorithms prove the claim of enhancing the lifetime of WSN. In order to check improvement of lifetime of WSN we have compered the results of the proposed algorithms with standered algorthim. The results show prove the claim of enhancing the life-time of WSN, where the total lifetime of WSN rise from about 550 rounds to reach 4100 when utilized self-checking process and rised up to 5200 after enhance minimum distans.

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Fault Tolerance and Energy Efficient Clustering Algorithm in Wireless Sensor Networks: FTEC

Cited by 18 publications

References 23 publications

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment

Energy Optimization of Wireless Sensor Embedded Cloud Computing Data Monitoring System in 6G Environment

Comprehensive analysis on sensor node fault management schemes in wireless sensor networks

Increasing life-time of wireless sensor network using energy-efficient and fault tolerance algorithms

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