scholarly journals On-Demand Charging Management Model and Its Optimization for Wireless Renewable Sensor Networks

Sensors ◽  
2022 ◽  
Vol 22 (1) ◽  
pp. 384
Author(s):  
Sandrine Mukase ◽  
Kewen Xia ◽  
Abubakar Umar ◽  
Eunice Oluwabunmi Owoola
Keyword(s):  
Energy Transfer ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Energy Level ◽  
Minimum Energy ◽  
Wireless Sensor ◽  
Wireless Energy Transfer ◽  
Total Energy Consumption ◽  
New Strategy ◽  
Wireless Mobile

Nowadays, wireless energy transfer (WET) is a new strategy that has the potential to essentially resolve energy and lifespan issues in a wireless sensor network (WSN). We investigate the process of a wireless energy transfer-based wireless sensor network via a wireless mobile charging device (WMCD) and develop a periodic charging scheme to keep the network operative. This paper aims to reduce the overall system energy consumption and total distance traveled, and increase the ratio of charging device vacation time. We propose an energy renewable management system based on particle swarm optimization (ERMS-PSO) to achieve energy savings based on an investigation of the total energy consumption. In this new strategy, we introduce two sets of energies called emin (minimum energy level) and ethresh (threshold energy level). When the first node reaches the emin, it will inform the base station, which will calculate all nodes that fall under ethresh and send a WMCD to charge them in one cycle. These settled energy levels help to manage when a sensor node needs to be charged before reaching the general minimum energy in the node and will help the network to operate for a long time without failing. In contrast to previous schemes in which the wireless mobile charging device visited and charged all nodes for each cycle, in our strategy, the charging device should visit only a few nodes that use more energy than others. Mathematical outcomes demonstrate that our proposed strategy can considerably reduce the total energy consumption and distance traveled by the charging device and increase its vacation time ratio while retaining performance, and ERMS-PSO is more practical for real-world networks because it can keep the network operational with less complexity than other schemes.

scholarly journals Wireless Rechargeable Vehicle Based Energy Efficienct Data Transmisison In Wireless Sensor Network

2019 ◽  
Vol 8 (6S3) ◽  
pp. 1914-1917
Keyword(s):  
Energy Transfer ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Wireless Energy Transfer ◽  
Wireless Sensor Nodes ◽  
Process Duration ◽  
Remote Sensor ◽  
Charging Efficiency

Wireless Energy Transfer technique has attracted increasing attention on authorizing the wireless sensor nodes in recent years. In this paper, we consider a remote battery-powered system where a portable charging vehicle is planned to accuse remote sensor system of hubs' arrangement confinements that may result in less charging efficiency for sensor hubs by charging vehicle. In our method, we used a charging vehicle to charge the nodes whenever needed. Instinctively, there is an unavoidable compromise between the charging distance and the vehicle. For these worries, we go for diminishing the reviving process duration, which contains the voyaging time and energizing time. To this end, we demonstrate that the charging vehicle would go along the briefest way directing. Also, we indicate ideal charging area for every remote charging occurrence.

scholarly journals Research on the Construction of an e-Commerce Marketing System Based on the Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Chi Zhang
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Minimum Energy ◽  
Cluster Head ◽  
Hardware Design ◽  
Wireless Sensor ◽  
Marketing System ◽  
Minimum Energy Consumption ◽  
Selection Of

This paper takes e-commerce as the research object, based on the combination of wireless sensor network research results, using relevant theoretical analysis tools to identify several major problems in the marketing of enterprises. Then, the internal environment conditions of developing e-commerce are comprehensively analyzed through human resources, financial resources, marketing ability, and platform building ability, and the advantages and disadvantages of the enterprise itself are presented in a three-dimensional manner to help the enterprise understand its situation. Firstly, the overall hardware structure design of this paper is analyzed, and the network marketing node hardware design is proposed as the core of the system hardware design, and the marketing node hardware design circuit diagram is given through the selection of marketing node sensors, the selection of wireless communication modules, and the selection of marketing node microprocessors. Based on the specific application of the wireless sensor network in the e-commerce marketing system, the number of cluster selection is reduced by calculating and setting the remaining energy threshold of the cluster head for the whole network. The optimal cluster head is searched for based on the density of marketing nodes in different regions and the minimum energy consumption of the cluster after the division of the region within the cluster, and the original cluster head is replaced; the density of marketing nodes in different e-commerce is different, and the optimal number of cluster heads is searched for based on the minimum energy consumption of the network. In summary, three strategies are implemented to improve the design of wireless sensor network routing, and the effectiveness of the algorithm is verified through experimental simulation. Through the analysis of e-commerce operation, the intracluster congestion control is achieved by a dual-cluster head strategy with intracluster push selection of subcluster heads; the network nonuniform hierarchy and resource scheduling strategy achieve intercluster congestion mitigation and decongestion. A minimum energy consumption multihop path tree is also proposed here, which can achieve the lowest energy consumption of marketing nodes and networks and improve the link quality relative to other transmission paths. After simulation experiments, the effectiveness and reliability of the congestion algorithm are verified. A guarantee scheme is provided for the development of e-commerce marketing strategies to help breakthroughs and developments in marketing management, and an attempt is also made to provide a template for other enterprises to follow.

A Reprograming Code Distribution Protocol for WSN Based on Hierarchy Structure

2013 ◽  
Vol 846-847 ◽  
pp. 910-913
Author(s):  
Kai Guo Qian
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Minimum Energy ◽  
Cluster Head ◽  
Residual Energy ◽  
Base Stations ◽  
Wireless Sensor ◽  
Local Cluster ◽  
Code Distribution

A reprograming code distribution algorithm for wireless sensor network based on hierarchy structure (RCDABHS) is proposed to improve the nodes energy efficiency and extend the lifetime of wireless sensor network .The algorithm choices portion of nodes with more residual energy to form code distribution tree with minimum energy consumption cost, which completes the code distribution to all heads. Other nodes request the new code from the local cluster head nearby principle. Cluster heads were dynamically elected according to residual energy and distance from base stations to implement the entire network node load balancing, reduce the energy consumption and prolong the network life cycle effectively. The performance analysis and simulation experiments show that the new algorithm effectiveness.

scholarly journals A Heterogeneous Energy Wireless Sensor Network Clustering Protocol

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Mengjia Zeng ◽  
Xu Huang ◽  
Bo Zheng ◽  
Xiangxiang Fan
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Minimum Energy ◽  
Cluster Head ◽  
Wireless Sensor ◽  
Network Clustering ◽  
Cluster Head Selection ◽  
Coverage Ratio ◽  
Clustering Protocol

The Low-Efficiency Adaptive Clustering Hierarchical (LEACH) protocol, a hierarchical routing protocol, has the advantage of simple implementation and can effectively balance network loads. However, to date there has been a lack of consideration for its use in heterogeneous energy network environments. To solve this problem, the Energy-Coverage Ratio Clustering Protocol (E-CRCP) is proposed, which is based on reducing the energy consumption of the system and utilizing the regional coverage ratio. First, the energy model is designed. The optimal number of clusters is determined based on the principle of “minimum energy consumption”, and the cluster head selection is based on the principle of “regional coverage maximization”. In order to balance the network load as much as possible, in the next iteration of cluster head selection, the cluster head with the lowest residual energy and the highest energy consumption is replaced to prolong the network’s life. Our simulated results demonstrate that the proposed method has some advantages in terms of longer network life, load balancing, and overall energy consumption in the environment of a heterogeneous energy wireless sensor network.

scholarly journals Efficiency of Wireless Sensor Network with MIMO Techniques

2019 ◽  
Vol 9 (2) ◽  
pp. 4896-4898
Keyword(s):  
Energy Efficiency ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Performance Metrics ◽  
Wireless Sensor ◽  
Total Energy Consumption ◽  
Different Types ◽  
Energy Consumptions ◽  
And Performance

A performance analysis of the energy efficiency of Wireless Sensor Network with different types of MIMO techniques is carried out in this paper. MIMO concept is integrated with WSN and performance of such network is analyzed and experimented in this paper with respect to different energy consumptions viz., transmit energy consumption and total energy consumption. It is concluded that WSN with BPSKMIMO outperforms WSN with SISO. The results published in this paper show that the integration WSN with BPSK-MIMO can achieve better performance metrics

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