scholarly journals Improvement of Hierarchical Routing Algorithm in Wireless Sensor Network

2019 ◽  
Vol 15 (01) ◽  
pp. 71
Author(s):  
Yinghui Yang ◽  
Qunting Yang ◽  
Tiegang Gao
Keyword(s):  
Energy Consumption ◽  
Routing Algorithm ◽  
Average Energy ◽  
Residual Energy ◽  
Optimal Number ◽  
Simulation Software ◽  
Data Packets ◽  
Advantages And Disadvantages ◽  
Cluster Heads ◽  
Average Energy Consumption

<span lang="EN-US">To prolong the life cycle of the network and increase the effective data transmission quantity of the network</span><span lang="EN-US">, several classic network layer routing algorithms are analyzed and they are implemented with programming language, which verifies their real advantages and disadvantages.</span><span lang="EN-US"> I</span><span lang="EN-US">n the model of ring networking, the optimal number of cluster heads in the annular region is deduced with the goal of minimizing the average energy consumption of cluster heads in each ring,</span><span lang="EN-US">and the formation mechanism of cluster heads is proposed for the purpose of preferentially using nodes with more residual energy as cluster heads.</span><span lang="EN-US">To further optimize energy consumption performance, a dynamic self-organizing multi-hop routing selection mode is proposed.</span><span lang="EN-US">Finally, the network simulation software is applied to construct the model based on ring network, and the optimization algorithm is adopted to obtain the flow chart of actual programming and some programming methods.</span><span lang="EN-US">The results show that the proposed algorithm achieves the ultimate optimization goal, which increases the number of effective monitoring data packets.</span>

scholarly journals Optimization of Sports Event Management System Based on Wireless Sensor Network

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yuan Zhang ◽  
Xuanli Zhao ◽  
Jing Shen ◽  
Kaixuan Shi ◽  
Yang Yu
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Protocol ◽  
Residual Energy ◽  
Simulation Software ◽  
Wireless Sensor ◽  
Advantages And Disadvantages ◽  
Cluster Heads ◽  
Network Load

In recent years, wireless sensor network technology has developed rapidly and its role in managing systems for sports events has been widely used. Wireless sensor networks not only have low wiring cost, high monitoring accuracy, and good fault tolerance but also can be monitored remotely and have outstanding advantages in fault diagnosis and safety monitoring. In this paper, firstly, the wireless sensor network hierarchical routing protocol is studied and its network model and workflow are analyzed; according to the energy consumption of the wireless sensor network, the selection method of the optimal number of cluster heads is proposed to analyze the advantages and disadvantages existing in the protocol. Secondly, the improvement of the routing protocol is proposed to address the problems of uneven distribution of cluster heads and cluster head election without considering the residual energy of nodes in the protocol. When dividing clusters, the number of neighboring nodes is considered so that cluster heads are distributed more evenly in the network; when electing cluster heads, the residual energy of nodes in the cluster is considered to balance the whole network load, and when electing cluster heads, the residual energy of nodes in the cluster is considered to balance the whole network load. Finally, simulation experiments are conducted in this paper using simulation software, and the simulation results show that the data fusion algorithm is more effective than the protocol in reducing the average energy consumption of nodes and extending the network lifetime; these features make wireless sensors more beneficial for better management of sporting events as well as better optimization.

scholarly journals Energy-Efficient and Disjoint Multipath Using Face routing in Wireless Sensor Networks

Energies ◽  
2021 ◽  
Vol 14 (22) ◽  
pp. 7823
Author(s):  
Hyunchong Cho ◽  
Seungmin Oh ◽  
Yongje Shin ◽  
Euisin Lee
Keyword(s):  
Energy Consumption ◽  
Average Energy ◽  
Packet Transmission ◽  
Destination Node ◽  
Path Generation ◽  
Data Packets ◽  
Hole Area ◽  
Face Routing ◽  
Multiple Routes ◽  
Average Energy Consumption

In WSNs, multipath is well-known as a method to improve the reliability of packet delivery by making multiple routes from a source node to a destination node. To improve reliability and load-balancing, it is important to ensure that disjoint characteristics of multipath do not use same nodes during path generation. However, when multipath studies encounter a hole area from which is hard to transmit data packets, they have a problem with breaking the disjoint features of multipath. Although existing studies propose various strategies to bypass hole areas, they have side effects that significantly accelerate energy consumption and packet transmission delay. Therefore, to retain the disjoint feature of multipath, we propose a new scheme that can reduce delay and energy consumption for a node near a hole area using two approaches—global joint avoidance and local avoidance. This scheme uses global joint avoidance to generate a new path centered on a hole area and effectively bypasses the hole area. This scheme also uses local joint avoidance that does not select the same nodes during new path generation using a marking process. In simulations, the proposed scheme has an average 30% improvement in terms of average energy consumption and delay time compared to other studies.

WN-LEACH: A Weighted Residual Energy Based Cluster-Heads Selection Algorithm for Wireless Sensor Network

2013 ◽  
Vol 765-767 ◽  
pp. 980-984
Author(s):  
Xi Rong Bao ◽  
Jia Hua Xie ◽  
Shuang Long Li
Keyword(s):  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Residual Energy ◽  
Base Station ◽  
Wireless Sensor ◽  
Cumulative Number ◽  
Cluster Heads

This article focused on the energy limit property of Wireless Sensor Network, and proposed a residual energy based algorithm WN-LEACH, with the classic network mode of LEACH routing algorithm. The algorithm combines the proportion of residual energy in the total energy with the cumulative number of the normal nodes supported by the cluster heads as a cluster selection reference. In order to balance the energy consumption of each cluster-head, the algorithm took both the different positions of the base station and the initial energy of the network into consideration, and weighted the two factors to balance the energy consumption between transmitting the signals and data fusion. Simulation results show that the algorithm can promote the lifetime of the uneven energy network and does not impair the effects of the LEACH algorithm.

scholarly journals A Routing Protocol Based on Both of Density Variation and Distance-Aware for WSNs

2020 ◽  
Author(s):  
Dongmei Xing
Keyword(s):  
Energy Consumption ◽  
Influence Factor ◽  
Routing Algorithm ◽  
Propagation Distance ◽  
Residual Energy ◽  
Density Variation ◽  
Wireless Sensor ◽  
Cluster Heads ◽  
Balanced Energy Consumption ◽  
Simulation Results

A hierarchical routing algorithm for wireless sensor networks (WSNs) is discussed. We select cluster heads according to related distances and residual energy. Both effects of the number of nodes dissipated and the energy consumption act on propagation distances. In addition, the related density effects on the propagation distance. We Define comprehensive influence factor and propagation influence factor, adjust the initial probability of nodes participating in cluster heads’ election, make propagation distances of nodes gradually increase within a certain range. Simulation results show that both cluster heads and failure nodes are evenly distributed in the whole sensor network. The residual energy of nodes are balanced inter the living nodes, which extends the survival time of the network. The routing algorithm we have designed has the characteristics of better balanced energy consumption.

Application of Wireless Sensor Technology in the Training of Martial Arts and Specification Motion Detection

2013 ◽  
Vol 791-793 ◽  
pp. 926-930
Author(s):  
Chang Kun Shao
Keyword(s):  
Numerical Simulation ◽  
Energy Consumption ◽  
Average Energy ◽  
Simulation Software ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Engineering Practice ◽  
Validity And Reliability ◽  
Advantages And Disadvantages ◽  
Save Energy

With the development of the computer wireless communication technology, wireless sensor detection is being widely applied to engineering practice. Combined with the advantages and disadvantages of the two algorithms LEACH and PEGASIS, this paper proposes a new algorithm BEAHR algorithm. At the same time, this paper establishes mathematical model algorithm of wireless network detection energy consumption for BEAHR algorithm. Finally, this paper calculates the numerical value of the three algorithms LEACH, PEGASIS and BEAHR by using the general numerical simulation software of MATLAB software. Through the numerical simulation experiments, it is found that with the increase of time, the average energy consumption of three algorithms will also be increased. Among them, the fastest increase of energy consumption is LEAC. However, the energy consumption of BEAHR algorithm is small. When the time is 1000 s, power consumption is 0.5 J, which verifies the validity and reliability of BEAHR algorithm and proves that BEAHR algorithm has the excellent performance to save energy and improve the network life cycle.

scholarly journals Load-balanced routing algorithm based on cluster heads optimization for wireless sensor networks

2018 ◽  
Vol 232 ◽  
pp. 04050
Author(s):  
Yong-wen Du ◽  
Zhang-min Wang ◽  
Gang Cai ◽  
Jun-hui Gong
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Residual Energy ◽  
Base Station ◽  
Wireless Sensor ◽  
Cluster Heads

In order to solve the problem of unbalanced load consumption of nodes for wireless sensor networks (WSNs), this paper proposes a load-balanced routing algorithm based on cluster heads optimization for wireless sensor network. The proposed algorithm first applies first-order wireless transmission model to calculate the optimal number of clusters, then calculate nodes competitiveness rating by fuzzy algorithm considering the residual energy of node and distance from the node to base station, cluster head selection uses unequal clustering algorithm according to the competitiveness of nodes. By node competitiveness and energy management mechanism which cooperate with each other to select the best cluster heads. Use connected optimization between clusters to search multi-hop paths base station for reducing energy consumption of node, and consider transmission energy consumption, residual energy, transmission distance and other factors. The experimental results show that the proposed algorithm compared with LEACH and UCDP algorithm, can balance loading and effectively extend the life cycle of wireless sensor network.

scholarly journals Modifying Building Energy-Saving Design Based on Field Research into Climate Features and Local Residents’ Habits

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 442
Author(s):  
Xiaoyue Zhu ◽  
Bo Gao ◽  
Xudong Yang ◽  
Zhong Yu ◽  
Ji Ni
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Residential Buildings ◽  
Average Energy ◽  
Field Tests ◽  
Building Energy ◽  
Building Energy Efficiency ◽  
Local Conditions ◽  
Building Energy Saving ◽  
Average Energy Consumption

In China, a surging urbanization highlights the significance of building energy conservation. However, most building energy-saving schemes are designed solely in compliance with prescriptive codes and lack consideration of the local situations, resulting in an unsatisfactory effect and a waste of funds. Moreover, the actual effect of the design has yet to be thoroughly verified through field tests. In this study, a method of modifying conventional building energy-saving design based on research into the local climate and residents’ living habits was proposed, and residential buildings in Panzhihua, China were selected for trial. Further, the modification scheme was implemented in an actual project with its effect verified by field tests. Research grasps the precise climate features of Panzhihua, which was previously not provided, and concludes that Panzhihua is a hot summer and warm winter zone. Accordingly, the original internal insulation was canceled, and the shading performance of the windows was strengthened instead. Test results suggest that the consequent change of SET* does not exceed 0.5 °C, whereas variations in the energy consumption depend on the room orientation. For rooms receiving less solar radiation, the average energy consumption increased by approximately 20%, whereas for rooms with a severe western exposure, the average energy consumption decreased by approximately 11%. On the other hand, the cost savings of removing the insulation layer are estimated at 177 million RMB (1 USD ≈ 6.5 RMB) per year. In conclusion, the research-based modification method proposed in this study can be an effective tool for improving building energy efficiency adapted to local conditions.

scholarly journals Food security of paddy farm households based on the proportion of food expenditure and energy consumption level in Jogorogo Ngawi

2021 ◽  
Vol 905 (1) ◽  
pp. 012077
Author(s):  
A D P M Larasati ◽  
Darsono ◽  
S Marwanti
Keyword(s):  
Food Security ◽  
Energy Consumption ◽  
Sample Selection ◽  
Average Energy ◽  
Farm Households ◽  
Household Food Security ◽  
Protein Consumption ◽  
Consumption Level ◽  
Food Expenditure ◽  
Average Energy Consumption

Abstract Ngawi is the sixth paddy producer in Indonesia and certainly has an influence on the food security of paddy farm households. This study aimed to analyze the proportion of food expenditure (PFE), energy and protein consumption, the relationship between food expenditure and energy consumption, and the condition of food security. The basic method used descriptive analytic. The number of respondents based on the slovin formula was 87 households. The sample selection used stratified random sampling. The data analysis method used correlation with SPSS 22 and cross indicator between PFE and energy consumption level. The results showed that the average of PFE was 58.81%. The average energy consumption was 4,272.2 kcal/household/day with an energy consumption level of 81.93% while the average protein consumption was 122.1 grams/household/day lower than the average household RDA consumption. Food expenditure had a significant relationship to energy consumption with a correlation coefficient of 0.925 including a very strong and unidirectional relationship. The contribution of household food security conditions were 28.7% secure; 32.2% vulnerable; 10.3% less secure; 28.8% insecure.

scholarly journals Modeling of Duty-Cycled MAC Protocols for Heterogeneous WSN with Priorities

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 467 ◽  
Author(s):  
Canek Portillo ◽  
Jorge Martinez-Bauset ◽  
Vicent Pla ◽  
Vicente Casares-Giner
Keyword(s):  
Performance Evaluation ◽  
Energy Consumption ◽  
Average Energy ◽  
Packet Delay ◽  
Evaluation Study ◽  
Duty Cycling ◽  
Quantitative Evidence ◽  
And Performance ◽  
Save Energy ◽  
Average Energy Consumption

Wireless Sensor Networks (WSN) have experienced an important revitalization, particularly with the arrival of Internet of Things applications. In a general sense, a WSN can be composed of different classes of nodes, having different characteristics or requirements (heterogeneity). Duty-cycling is a popular technique used in WSN, that allows nodes to sleep and wake up periodically in order to save energy. We believe that the modeling and performance evaluation of heterogeneous WSN with priorities operating in duty-cycling, being of capital importance for their correct design and successful deployment, have not been sufficiently explored. The present work presents a performance evaluation study of a WSN with these features. For a scenario with two classes of nodes composing the network, each with a different channel access priority, an approximate analytical model is developed with a pair of two-dimensional discrete-time Markov chains. Note that the same modeling approach can be used to analyze networks with a larger number of classes. Performance parameters such as average packet delay, throughput and average energy consumption are obtained. Analytical results are validated by simulation, showing accurate results. Furthermore, a new procedure to determine the energy consumption of nodes is proposed that significantly improves the accuracy of previous proposals. We provide quantitative evidence showing that the energy consumption accuracy improvement can be up to two orders of magnitude.

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