Energy efficient teaching-learning-based optimization for the discrete routing problem in wireless sensor networks

Ghazi, Asmae El; Ahiod, Belaïd

doi:10.1007/s10489-017-1108-8

Cited by 27 publications

(13 citation statements)

References 31 publications

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“…According to the convolutional neural network node residual algorithm, the node residual of each neural node in the neural network layer can be obtained [29]. 7For the neural network layer of the second layer, the calculation formula of the node residual of the neural node of the neural network layer is as (8). 8Simply replace the relationship with (9): (9) The above formula represents the weighted sum of unit inputs.…”

Section: Figure 3 Schematic Diagram Of Convolution Operation and Tranmentioning

confidence: 99%

Design of Intelligent Diagnosis System for Teaching Quality Based on Wireless Sensor Network and Data Mining

Zhang

Huang

2020

Preprint

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With the popularization of computers and various mobile intelligent terminals, intelligent teaching systems based on learners are becoming more and more popular among learners. The above phenomenon has greatly affected and changed the current teaching quality diagnosis methods and models. However, the author found through investigation that the current intelligent teaching quality diagnosis still has different degrees of deficiencies in the design and implementation. In response to the above problems, this paper proposes a teaching quality intelligent diagnosis model based on the combination of wireless sensor networks and fuzzy comprehensive evaluation algorithms. First of all, this article is based on the wireless sensor network to link various levels of intelligent teaching systems, and constructs the information transmission structure of the teaching intelligent diagnosis system. Secondly, this article uses fuzzy comprehensive evaluation and convolutional neural network algorithms to evaluate and excavate intelligent teaching information. Finally, the model successfully passed the simulation test and simulation application, which can provide intelligent diagnosis of teaching quality for modern intelligent teaching system.

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Section: Figure 3 Schematic Diagram Of Convolution Operation and Tranmentioning

confidence: 99%

Design of Intelligent Diagnosis System for Teaching Quality Based on Wireless Sensor Network and Data Mining

Zhang

Huang

2020

Preprint

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“…In this paper, the route optimization is carried out based on the clustering routing protocol, one of the two major categories of WSN routing protocols [19,20]. The optimization attempts to achieve efficient energy utilization, data fusion, scalability and robustness.…”

Section: Overviewmentioning

confidence: 99%

Energy Efficiency Management and Route Optimization for Wireless Sensor Network under the Ubiquitous Power Internet of Things

Zhang¹

2019

EJEE

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The traditional routing algorithms for data transmission in the wireless sensor network (WSN) under the ubiquitous power Internet of Things (UPIoT) are faced with two common defects, namely, the imbalance between the nodes in energy consumption and the premature death of many nodes. To solve the problems, this paper puts forward a method to manage the energy efficiency and optimize the route for the WSN under the UPIoT. Firstly, an energy consumption model of network nodes was established after analyzing the causes of node energy loss, which effectively reduces the energy consumed by each node during the clustering process. Next, the author designed a way to compute node quality, and selected cluster heads by node quality, such that the energy consumption is balanced across the WSN. On this basis, a node clustering routing algorithm was presented to dynamically adjust the communication radii of cluster heads and general nodes, thus extending the lifecycle of the WSN under the UPIoT. The simulation results show that our method outperformed the traditional clustering routing algorithm in controlling energy loss of nodes and enhancing network reliability and stability. The research findings provide a valuable reference for the efficient data transmission of the WSN under the UPIoT.

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“…Through this continuous process network derives its own path for data processing. The energy consumption of a node also considered for data processing between two nodes [11,12]. One of the common protocol of this type is Ad-Hoc On Demand Distance Vector (AODV).…”

Section: Fig 1 Basic Building Block Of Wsnmentioning

confidence: 99%

“…In addition, it also provides adding and removing of a node to the network. In AODV, the routing table maintains the routing history between each node and whenever the RREQ (Route REQuest) processed by a source node, the source node checks the routing table for path specification and follows the route [8,11,12]. After certain period, the routing table will change based on the route identification process called Packet REQuest (PREQ).…”

Section: Fig 1 Basic Building Block Of Wsnmentioning

confidence: 99%

Improving the lifetime of Wireless Sensor Network through Energy Proficient AODV Protocol

H*,

Gunavathi

2019

IJEAT

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Wireless Sensor Network (WSN) is an emerging technology, which enables new innovative trends and equipments to resolve the issues of current and future world. The WSN is a combination of tiny sensor nodes equipped with a minimal battery power, mini processor and a RAM. The battery is non-rechargeable in nature and thus the need for energy efficiency becomes a vital task for WSN. This paper deals with improving the energy efficiency through Energy Proficient AODV protocol (EP-AODV). The proposed work utilizes minimal energy, power amplification and efficient routing technique to improve lifetime of the network. Comparison of EP-AODV with other existing schemes, EP-AODV achieves better throughput, energy efficient, First-Nod-Dies ratio and so on. Thus, the proposed EP-AODV protocol achieves better energy efficient protocol for WSN.

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Energy efficient teaching-learning-based optimization for the discrete routing problem in wireless sensor networks

Cited by 27 publications

References 31 publications

Design of Intelligent Diagnosis System for Teaching Quality Based on Wireless Sensor Network and Data Mining

Design of Intelligent Diagnosis System for Teaching Quality Based on Wireless Sensor Network and Data Mining

Energy Efficiency Management and Route Optimization for Wireless Sensor Network under the Ubiquitous Power Internet of Things

Improving the lifetime of Wireless Sensor Network through Energy Proficient AODV Protocol

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