Energy-saving routing metric for aggregate low-rate wireless sensor networks

Titaev, Alexander

doi:10.1007/s11276-019-02033-3

Cited by 6 publications

(3 citation statements)

References 21 publications

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“…Aiming at the development status of wireless sensor network technology and gas monitoring, a network construction scheme of gas monitoring system based on wireless sensor network was proposed, and the hardware structure of gas sensor nodes in the network was designed. Software of the system is analyzed and designed [11]. Vanjale et al conducted research on wireless underground sensor network (WUSN) and solved the path loss of WUSN and the communication problem of interlayer protocol [12].…”

Section: Literature Reviewmentioning

confidence: 99%

Application of Intelligent Sensor in Mining Electrical Equipment Collection

Chang

Zhang

Zhu

2022

Journal of Control Science and Engineering

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In order to meet the informatization requirements of coal mine safety monitoring, the author proposes a method for the application of smart sensors in the acquisition of mine electrical equipment. The system uses a variety of sensor fusion methods, with the help of Zigbee wireless network nodes, and passes the data collected by the sensor to the MCU core processor; thus, the collected data are processed, and then, the RS-485 communication protocol is used to upload the data to the upper station; finally, the monitoring of coal mine safety is realized through the background monitoring interface. Experimental results show that, among the five randomly selected nodes, most of the errors between the actual measured results and the collected results are concentrated within the 2% error range. Conclusion. The effect of the abovementioned acquisition scheme in coal mine application is verified, so as to realize the scientific monitoring of coal mine safety.

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Section: Literature Reviewmentioning

confidence: 99%

Application of Intelligent Sensor in Mining Electrical Equipment Collection

Chang

Zhang

Zhu

2022

Journal of Control Science and Engineering

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“…The transmitter has the highest battery consumption in the nodes; as a result, either work has been done to regulate the transmitter strength or the nodes are distanced as much as possible so that they cover a larger area. One of the metrics related to energy is the BDI metric which has been introduced based on the RER metric in [12] and [13]. • The number of hops: which is shown as HC in many kinds of works of literature, is the number of required hops for the packet to reach its destination.…”

Section: Network Management Metricsmentioning

confidence: 99%

DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS

et al. 2021

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“…A wireless sensor network is a sensor-capable ad hoc network. Typically, a large number of sensor nodes are randomly deployed in environments or complex areas that are inaccessible to humans to collect and transmit data, realize perception and monitoring of target areas or specific objects, and transmit the acquired data to the system's remote end [ 4 , 5 ]. For the elderly living alone, using the behavior recognition technology based on wireless sensor network to build an intelligent monitoring system indoors can not only send alarm signals in time to prevent accidents of the elderly, but also make intelligent decision-making and behavior recommendation by monitoring their daily activities [ 6 ].…”

Section: Introductionmentioning

confidence: 99%

Human Health Activity Recognition Algorithm in Wireless Sensor Networks Based on Metric Learning

Sun

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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Wireless sensor network is an ad hoc network with sensing capability. Usually, a large number of sensor nodes are randomly deployed in an unreachable environment or complex area for data collection and transmission, which can realize the perception and monitoring of the target area or specific objects and transmit the obtained data to the remote end of the system. Human health activity recognition algorithm is a hot topic in the field of computer. Based on the small sample problem and the linear indivisibility of real samples encountered in metric learning, this paper proposes a human activity recognition algorithm for wireless sensor networks. Human activity recognition algorithm for wireless sensor networks uses human activity recognition algorithm to solve the singularity of intraclass divergence matrix, so as to reduce the impact of small sample problem. The algorithm maps two different feature spaces to the high-dimensional linearly separable kernel space through the corresponding kernel function, calculates the distance between samples in the two projected feature subspaces to obtain two distance measurement functions, and finally linearly combines them with weights to obtain the final distance measurement function.

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Energy-saving routing metric for aggregate low-rate wireless sensor networks

Cited by 6 publications

References 21 publications

Application of Intelligent Sensor in Mining Electrical Equipment Collection

Application of Intelligent Sensor in Mining Electrical Equipment Collection

DDSLA-RPL: Dynamic Decision System Based on Learning Automata in the RPL Protocol for Achieving QoS

Human Health Activity Recognition Algorithm in Wireless Sensor Networks Based on Metric Learning

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