scholarly journals An Intrusion Tolerance Method Based on Energy Attack for Wireless Sensor Network

2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Yu Jiang ◽  
Jie Huang
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Intrusion Tolerance ◽  
Malicious Nodes ◽  
Large Power ◽  
Protection Method ◽  
Active Protection ◽  
Tolerance Method

Wireless sensor network is vulnerable to malicious attacks because of the broadcast nature of wireless signal. In order to overcome the shortcomings of existing methods, this paper presents an intrusion tolerance method against malicious nodes. Different from the traditional intrusion tolerance methods based on encryption, authentication, and multirouting, the proposed method uses active protection to achieve intrusion tolerance. Small power consumption of many normal nodes is exchanged for large power consumption of relatively small number of malicious nodes to decrease the lifetime of malicious nodes. Theoretical analysis and test results show that the proposed methods not only prolong the lifetime of the sensor network but also achieve the effective protection against malicious nodes. The active protection method provides new ideas for the security in WSN.

Automatic Gas Meter Reading System Based on Wireless Sensor Network

2012 ◽  
Vol 424-425 ◽  
pp. 1270-1273
Author(s):  
Yong Jie Yang ◽  
Dong Hua Lv ◽  
Xian Xian Lin
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Sensor Network ◽  
Wireless Sensor ◽  
Current Status ◽  
Lower Power ◽  
Reading Technology ◽  
Reading System

In view of the current status and shortcomings of existing meter reading systems, in this paper, we proposed an automatic gas meter reading system based on the advantages of gas meter directly reading technology, WSN technology and GPRS technology, introduced the whole scheme and the design of hardware and software in detail. The system is consist of three level network. The first level network and the second level network use the different frequency during communication. It decreases the interface of each other during the translation of the data, and increase the lifetime of the smart gas meter. The system has the advantages of easy construct, flexible layout, lower power consumption

scholarly journals Secured Data Transmission and Malicious Node Detection in Wireless Sensor Network

2019 ◽  
Vol 8 (6) ◽  
pp. 1062-1069
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Data Transmission ◽  
Base Station ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Malicious Nodes ◽  
Secure Data Transmission ◽  
Fuzzy C Means Clustering

Wireless Sensor Network (WSN) is developed extremely because of their low installation cost and various applications. WSN has compact and inexpensive sensor nodes for monitoring the physical environment. WSNs are susceptible to many attacks (e.g. malicious nodes) because of its distinct characteristics. The performance of node and network is affected by the malicious nodes. Moreover, the communication among the sensor nodes also required to be secured for preventing the data from the hackers. In this paper, the architecture of the WSN is generated by using the Fuzzy-C-Means clustering (FCM). Then the detection of the malicious nodes is performed by using the Acknowledgement Scheme (AS). This AS is integrated in the Ant Colony Optimization (ACO) based routing for avoiding the malicious nodes while generating the route from the source to the Base Station (BS). Then the Hybrid Encryption Algorithm (HEA) is used for performing the secure data transmission through the network and this proposed method is named as HEA-AS. The performance of the HEA-AS method is evaluated in terms of End to End Delay (EED), network lifetime, throughput, Packet Delivery Ratio (PDR) and Packet Loss Ratio (PLR). The proposed HEA-AS method is compared with the existing method called as CTCM to evaluate the effectiveness of the HEA-AS method.

scholarly journals A wireless sensor network for high-tech agriculture

2020 ◽  
Vol 3 (4) ◽  
pp. 259-270
Author(s):  
Nhan Chi Nguyen ◽  
Hoang Huy Nguyen ◽  
Tuan Ngoc Pham
Keyword(s):  
Wireless Sensor Network ◽  
Power Consumption ◽  
Low Power ◽  
Sensor Network ◽  
Data Transmission ◽  
Urban Environments ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
High Tech ◽  
Area Network

This paper presents the design of wireless sensor network (WSN) based on low-power wide area network technology for high-tech agriculture. This WSN allows the farmer to collect data such as air temperature, air humidity, soil moisture. The WSN system consists of components: 02 wireless sensor nodes, 01 gateway, 01 cloud server and smartphone app. This WSN tested for data transmission in two zones: zone 1 (dense urban environments) at a distance of 500m and zone 2 (urban environments - less obstacles) at a distance of 1,500m and 1,700m. The data collected at different times of the day and updated every 15 minutes. The results show that the wireless sensor network system operates stably, data constantly updated to LoRa Server and there was not data packet loss. The power consumption of sensor node and gateway determined in three operating modes: transmitting, receiving, turn-off. This shows the advantages of LoRa technology in the development of wireless sensor network which is the distance of data transmission distance and low power consumption. Besides this WSN also tested in the net house of aquaponics of the Research Center for High-tech Application in Agriculture (RCHAA), University of Science, Vietnam National University-HCM. The results show that the WSN system is working reliably and promising which brings significantly benefits to smart agriculture as aquaponics, clean vegetable farms, aquaculture farms…

scholarly journals WSN Spatio-temporal Correlation Data Fusion Method for Dairy Cow

2017 ◽  
Vol 13 (12) ◽  
pp. 26
Author(s):  
Huaji Zhu ◽  
Yisheng Miao ◽  
Huarui Wu
Keyword(s):  
Heat Stress ◽  
Wireless Sensor Network ◽  
Data Fusion ◽  
Power Consumption ◽  
Dairy Cows ◽  
Sensor Network ◽  
Dairy Cow ◽  
Environmental Parameters ◽  
Wireless Sensor ◽  
Average Power Consumption

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-GB; mso-bidi-language: AR-SA;" lang="EN-GB">The cowshed environment has significant impacts on the yield, diseases and behaviors of dairy cows. Heat stress, in particular, has a great impact on yield. The cowshed environment monitoring system based on wireless sensor network can accurately sense the temperature and other environmental parameters in real time and provide basis for manual environmental intervention and control. Energy constraint is one of the important problems that affect the long-term stable monitoring by the dairy cow wireless sensor network. So, the weighted Markov chain method is used to predict the time series of cowshed temperature. Replacing the actual values with the predicted values at the cluster head can effectively reduce data traffic in the cluster, thereby reducing network power consumption. Test data show that, the average variance of the cowshed environment temperature predicted by the method proposed in this paper is 0.185, and the average power consumption is reduced by about 40% when the compression ratio is 0.3, which effectively prolongs the network lifetime. In addition to that, the cowshed environment prediction can also help make pre-judgments for environmental control, reduce or avoid the heat stress of dairy cows after the environmental parameters exceed the thresholds and provide the basis for the multi-source data fusion for dairy cow.</span>

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