scholarly journals Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence

Sensors ◽  
2018 ◽  
Vol 18 (9) ◽  
pp. 2974 ◽  
Author(s):  
Chunsheng Liu ◽  
Hong Shan ◽  
Bin Wang
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Efficiency ◽  
Matrix Completion ◽  
Sampling Rate ◽  
Low Rank ◽  
Wireless Sensor ◽  
Bregman Divergence ◽  
Positioning Accuracy ◽  
Pulse Noise

One of the main challenges faced by wireless sensor network (WSN) localization is the positioning accuracy of the WSN node. The existing algorithms are arduous to use for dealing with the pulse noise that is universal and ineluctable in practical considerations, resulting in lower positioning accuracy. Aimed at this problem and introducing Bregman divergence, we propose in this paper a novel WSN localization algorithm via matrix completion (LBDMC). Based on the natural low-rank character of the Euclidean Distance Matrix (EDM), the problem of EDM recovery is formulated as an issue of matrix completion in a noisy environment. A regularized matrix completion model is established, smoothing the pulse noise by leveraging L 1 , 2 -norm and the multivariate function Bregman divergence is defined to solve the model to obtain the EDM estimator. Furthermore, node localization is available based on the multi-dimensional scaling (MDS) method. Multi-faceted comparison experiments with existing algorithms, under a variety of noise conditions, demonstrate the superiority of LBDMC to other algorithms regarding positioning accuracy and robustness, while ensuring high efficiency. Notably, the mean localization error of LBDMC is about ten times smaller than that of other algorithms when the sampling rate reaches a certain level, such as >30%.

scholarly journals A Cotton High-Efficiency Water-Fertilizer Control System Using Wireless Sensor Network for Precision Agriculture

Processes ◽  
2021 ◽  
Vol 9 (10) ◽  
pp. 1693
Author(s):  
Chanchan Du ◽  
Lixin Zhang ◽  
Xiao Ma ◽  
Xiaokang Lou ◽  
Yongchao Shan ◽  
...  
Keyword(s):  
Control System ◽  
Decision Support ◽  
Wireless Sensor Network ◽  
Decision Support System ◽  
Sensor Network ◽  
Support System ◽  
Precision Agriculture ◽  
High Efficiency ◽  
Wireless Sensor ◽  
Sensors And Actuators

Scientific researchers have applied newly developed technologies, such as sensors and actuators, to different fields, including environmental monitoring, traffic management, and precision agriculture. Using agricultural technology to assist crop fertilization is an important research innovation that can not only reduce the workload of farmers, but also reduce resource waste and soil pollution. This paper describes the design and development of a water-fertilizer control system based on the soil conductivity threshold. The system uses a low-cost wireless sensor network as a data collection and transmission tool and transmits the data to the decision support system. The decision support system considers the change in soil electrical conductivity (EC) and moisture content to guide the application of water-fertilizer, and then improves the fertilization accuracy of the water-fertilizer control system. In the experiment, the proposed water-fertilizer control system was tested, and it was concluded that, compared with the existing traditional water-fertilizer integration control system, the amount of fertilizer used by the system was reduced by 10.89% on average, and it could save 0.76–0.87 tons of fertilizer throughout the whole growth period of cotton.

The Group Keyword Management Method of the Heterogeneous WSN Based on Topology

2013 ◽  
Vol 798-799 ◽  
pp. 480-483
Author(s):  
Tao Ma ◽  
Juan Chen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Efficiency ◽  
New Method ◽  
Wireless Sensor ◽  
Batch Method ◽  
Heterogeneous Wireless Sensor Network ◽  
Management Method

The new method used the node to make up the keyword management tree. The keyword management tree was optimized with renewing the group keyword. In the meanwhile, the use of father nodes and the processing batch method improved the keyword renewing efficiency. The analysis result of theory shows that the method is a high efficiency and extendible group keyword management method which used in the heterogeneous wireless sensor network.

scholarly journals DBac: deadline based data collection using CSMA/CD and earliest deadline first (EDF) scheduling in wireless sensor network

2018 ◽  
Vol 7 (3) ◽  
pp. 1956
Author(s):  
A Felix Arokya Jose ◽  
C Anand Deva Durai ◽  
S John Livingston
Keyword(s):  
Wireless Sensor Network ◽  
Data Collection ◽  
Sensor Network ◽  
Sampling Rate ◽  
Data Communication ◽  
Base Station ◽  
Wireless Sensor ◽  
Earliest Deadline First ◽  
Delivery Ratio ◽  
Earliest Deadline

Wireless Sensor Network (WSN) has an enormous scope of utilizations in detecting different parameters such as temperature, pressure, sound, pollution, etc. The sensed data in each sensor node are a valuable one. To communicate the information to the base station for further processing, a lot of strategies are available. Each sensor senses the data in different sampling rate depending upon the sudden raise in the sensing parameters. Data communication to the base station is very critical due to the dynamicity of the environment during the stipulated time.The sensed data should reach the base station before the data becomes invalid due to the violation of the deadline. In order to avoid deadline violation so that the sensed data becomes useless, this paper proposing a novel data collection algorithm based on the popular Earliest Deadline First (EDF) scheduling algorithm. The various simulation parameters are taken into account to verify the performance of the proposed method and the result shows that it achieves high throughput, low delay, high Packet Delivery Ratio (PDR) and low energy consumption.  

scholarly journals Adaptive security approach for wireless sensor network using RSA algorithm

2021 ◽  
Vol 22 (1) ◽  
pp. 361
Author(s):  
Maha Salah Asaad ◽  
Muayad Sadik Croock
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Ad Hoc ◽  
High Efficiency ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Adaptive Security ◽  
Security Design ◽  
Rsa Algorithm ◽  
Aodv Protocol

A type of distributed and self-regulating network is the wireless sensor network (WSN). The sensor nodes have limited computing capabilities, memory, battery power are needed to ensure a strong security design. In this paper, an adaptive cryptographic scheme for WSN that is operating on routing ad hoc on-demand vector routing (AODV) protocol. The adaptive term refers to the adopted mechanism between heavy and light asymmetric cryptography techniques of RSA. The heavy technique adopts the complete version of RSA algorithm, while the light one considers a reduced complexity version. This is to control the security operation over the included nodes even with low power ratio. In various case studies, the proposed scheme is checked and the result obtained shows the high efficiency of results in terms of protection guarantee.

scholarly journals Positioning of Wireless Sensor Network under Emergency Communication Environment

2020 ◽  
Vol 19 (4) ◽  
pp. 273-279
Author(s):  
Ruilin Yuan
Keyword(s):  
Kalman Filter ◽  
Wireless Sensor Network ◽  
Embedded System ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Initial Value ◽  
Emergency Communication ◽  
Positioning Accuracy ◽  
Communication Environment ◽  
Value Range

With the development of microelectromechanical system (MEMS), embedded system, and wireless communication, it is now feasible to implement and deploy wireless sensor network (WSN) in emergency communication environment. However, the positioning accuracy of WSN nodes needs to be further improved. To solve the problem, this paper improves the initial value calculation method of multi-hop positioning algorithms, which are suitable for emergency communication environment, and puts forward a WSN node positioning algorithm that narrows the initial values of Kalman filter. By narrowing the initial value range of Kalman filter, the specially deployed sensors could accurately derive its position from the known positions of anchor nodes. To prevent error accumulation in the network, distributed computing was performed to solve the global nonlinear optimization problem, and calculate the position of the nodes. Simulation results show that the proposed algorithm can improve the WSN positioning accuracy under emergency communication environment, while greatly saving computing and communication costs. The research further improves the practicability and efficiency of multi-hop positioning algorithms in emergency communication environment.

scholarly journals Traffic Information Collection Using Wireless Sensor Network Positioning Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jinxi Zhang ◽  
Wenying Zhu ◽  
Xueying Wu ◽  
Tianshan Ma
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Routing Algorithm ◽  
Routing Algorithms ◽  
Wireless Sensor ◽  
Sensor Technology ◽  
Application Research ◽  
Positioning Accuracy ◽  
Position Information ◽  
Anchor Nodes

The wireless sensor network integrates sensor technology, microelectromechanical technology, distributed information processing technology, and wireless communication technology. In order to solve this problem, this paper designs and proposes an anchor node self-location algorithm. Aiming at the positioning accuracy of wireless sensor network nodes, this paper proposes an improved algorithm for sensor network node positioning that uses error correction methods to reduce accumulated distance errors and positioning errors. In this paper, the designed routing algorithm is simulated and implemented, and the performance of the routing algorithm is evaluated based on different network topologies. From the analysis results, compared with the existing typical routing algorithms, the routing algorithms designed in this paper can effectively reduce the energy consumption of the network and prolong the lifetime of the network. The core of the algorithm is to integrate the known and available information of the system to locate unknown anchor nodes. This greatly reduces the number of anchor nodes whose initial position information is required by the system, and under the condition of less impact on the positioning accuracy of the system, the cost of the system is reduced and the scope of application of the system is improved. This paper has deeply studied the positioning and tracking problems in wireless sensor networks, including node positioning, biochemical gas source positioning, and target tracking, and designed and developed a platform for positioning and tracking application research to lay the foundation for further application research. In the study of the above problems, new methods of positioning and tracking with theoretical and practical value are proposed for different practical application scenarios, and the performance is verified and evaluated through computer simulation.

scholarly journals Optimization of Wireless Sensor Network Architecture with Security System

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Shanshan Wang ◽  
Yun Chen
Keyword(s):  
Immune System ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Network Model ◽  
Management System ◽  
Trust Management ◽  
High Efficiency ◽  
System Structure ◽  
Wireless Sensor ◽  
Trust Management System

Wireless sensor network (WSN) is a new type of wireless network. It has many advantages, but there are some problems. These problems make it easier for attackers to analyze network security holes and attack and destroy entire networks. This article designs a security wireless sensor network model. It can resist most known network attacks without significantly reducing the energy power of sensor nodes. First, we cluster the network organization to reduce energy consumption. It also protects the network based on the calculation of trust levels and the establishment of trust relationships between trusted nodes and operates the trust management system based on a centralized method, secondly, on the basis of LEACH agreement, draws lessons from the principle of biological immune system, optimizes the wireless sensor network, and further proposes a new immune system structure suitable for wireless sensor networks. The experimental results show that the wireless sensor network model designed in this paper solves the high-efficiency and energy-saving design task, and the trust management system has satisfactory results in defending against attacks.

Adaptive WSN MAC Protocol Based on Mixing Broadcast

2011 ◽  
Vol 474-476 ◽  
pp. 517-521
Author(s):  
Xin Chen
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
High Efficiency ◽  
Mac Protocol ◽  
High Reliability ◽  
Wireless Sensor ◽  
Data Frame ◽  
Network Layer ◽  
Network Parameters ◽  
Simulation Results

MAC protocol of Wireless Sensor Network (WSN) requires high efficiency to achieve maximum traffic transmission, while pursuit high reliability at the same time. The paper researched on reliable mixing broadcast implementation manner of WSN. Based on analysis on implementation manners of broadcast, unicast and mixing broadcast, a kind of adaptive MAC protocol supporting reliable mixing broadcast was presented. The protocol dynamically select implementation manner with maximum mixing broadcast efficiency based on given network parameters to complete transmission of data frame. Simulation results based on NS2 shows that the protocol has better performance to achieve reliable mixing broadcast, which solve problems of reliable broadcast/multicast at network layer.

Sign in / Sign up

Export Citation Format

Share Document