GPS-Free, Boundary-Recognition-Free, and Reliable Double-Ruling-Based Information Brokerage Scheme in Wireless Sensor Networks

2012 ◽  
Vol 61 (6) ◽  
pp. 885-898 ◽  
Author(s):  
Chia-Hung Lin ◽  
Jian-Jhih Kuo ◽  
Bing-Hong Liu ◽  
Ming-Jer Tsai
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Free Boundary ◽  
Wireless Sensor ◽  
Boundary Recognition

On boundary recognition without location information in wireless sensor networks

2010 ◽  
Vol 6 (3) ◽  
pp. 1-35 ◽  
Author(s):  
Olga Saukh ◽  
Robert Sauter ◽  
Matthias Gauger ◽  
Pedro José Marrón
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Location Information ◽  
Boundary Recognition

scholarly journals Boundary Recognition by Simulating a Diffusion Process in Wireless Sensor Networks

2014 ◽  
Vol 2014 ◽  
pp. 1-11 ◽  
Author(s):  
De Gu ◽  
Jishuai Wang ◽  
Ji Li
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Diffusion Process ◽  
Global Optimum ◽  
Wireless Sensor ◽  
Design And Optimization ◽  
Boundary Recognition ◽  
Sampling Systems ◽  
Overall Performance ◽  
Geometrical Boundary

Wireless sensor networks (WSN) are becoming increasingly promising in practice. As the predeployment design and optimization are usually unpractical in random deployment scenarios, the global optimum of the WSN’s performance is achievable only if the topology dependent self-organizing process acquires the overview of the WSN, in which the boundary is the most important. The idea of this paper comes from the fact that contours only break on the geometrical boundary and the WSN are discrete sampling systems of real environments. By simulating a diffusion process in discrete form, the end point of semi-contours suggests the boundary nodes of a WSN. The simulation cases show the algorithm is well worked in WSN with average degree higher than 10. The boundary recognition could be very valuable for other algorithms dedicated to optimize the overall performance of WSN.

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