Design of Wireless Sensor Network for Multi-Point Surveillance of a Moving Target Based on the Relationship Between Tracking Probability and Sensor Density

Author(s):  
Kazuya Tsukamoto ◽  
Hirofumi Ueda ◽  
Hitomi Tamura ◽  
Kenji Kawahara ◽  
Yuji Oie
Sensors ◽  
2009 ◽  
Vol 9 (5) ◽  
pp. 3563-3585 ◽  
Author(s):  
Kazuya Tsukamoto ◽  
Hirofumi Ueda ◽  
Hitomi Tamura ◽  
Kenji Kawahara ◽  
Yuji Oie

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Chunpeng Ge ◽  
Jinyue Xia ◽  
Aaron Wu ◽  
Hongwei Li ◽  
Yao Wang

Wireless sensor network (WSN), which extends the typical Internet environment to Internet of Things, has been deployed in various environments such as safety monitoring, intelligent transportation, and smart home. In a WSN, encryption is typically used to protect data that are stored in wireless devices. However some features like data sharing can be affected if the traditional encryption is used. A secure mechanism should support a gateway of the network to directly convert a user’s encrypted data (encrypted pollution data) to a new user’s encryption without exposing the underlying plaintext data during the whole sharing phase. In this work, a new source hiding identity-based proxy reencryption scheme (SHIB-PRE) is proposed to deal with the issue. The proposed SHIB-PRE scheme supports a proxy (gateway or cloud server) to transform a user’s encrypted date to a new user’s ciphertext as long as the proxy has the proxy reencryption key. In SHIB-PRE, the encrypted pollution data is kept secure from the proxy and the relationship between a source ciphertext and a reencrypted ciphertext is concealed from the outside eavesdropper. In this paper, we give an introduction to the definition of a source hiding identity-based proxy reencryption and its chosen plaintext security model. Further, a concrete construction will be presented and proven chosen plaintext secure under the q-DDHE assumption in the standard model.


2017 ◽  
Vol 13 (12) ◽  
pp. 18 ◽  
Author(s):  
Changtong Song

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: DE; mso-bidi-language: AR-SA;">To explore big data processing and its application in wireless sensor network (WSN), this paper studies structural construction of the WSN based on big data processing, and numerically simulates SVC4WSN and MDF4LWSN architectures. Moreover, the relationship between the optimal network layer and node communication radius was verified at different node densities. The results indicate that the proposed model achieved better lifecycle and loading balancing effect than the other network.</span>


2011 ◽  
Vol 268-270 ◽  
pp. 1963-1967
Author(s):  
Min Shen ◽  
Rong Biao Zhang

Based on the node low energy consumption wireless sensor network for greenhouse, which takes mobile gathering node as center to self-organize subnets, this article mainly studies the relationship among network parameters and strike a balance between energy saving and system stability to establish the model of network parameter. Examples are illustrated to show how to determine network parameters and why the model is effective.


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