scholarly journals MMQT: Maximizing the Monitoring Quality for Targets Based on Probabilistic Sensing Model in Rechargeable Wireless Sensor Networks

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 77073-77088
Author(s):  
Wen-Hwa Liao ◽  
Bhargavi Dande ◽  
Chih-Yung Chang ◽  
Diptendu Sinha Roy
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Sensing Model ◽  
Monitoring Quality ◽  
Probabilistic Sensing Model

scholarly journals An Effective Sensor Deployment Scheme that Ensures Multilevel Coverage of Wireless Sensor Networks with Uncertain Properties

Sensors ◽  
2020 ◽  
Vol 20 (7) ◽  
pp. 1831 ◽  
Author(s):  
Yu-Ning Chen ◽  
Wu-Hsiung Lin ◽  
Chiuyuan Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Detection Probability ◽  
Sensor Node ◽  
Fundamental Problem ◽  
Wireless Sensor ◽  
Sensor Deployment ◽  
Sensing Model ◽  
Definition Of ◽  
Probabilistic Sensing Model

The coverage problem is a fundamental problem for almost all applications in wireless sensor networks (WSNs). Many applications even impose the requirement of multilevel (k) coverage of the region of interest (ROI). In this paper, we consider WSNs with uncertain properties. More precisely, we consider WSNs under the probabilistic sensing model, in which the detection probability of a sensor node decays as the distance between the target and the sensor node increases. The difficulty we encountered is that there is no unified definition of k-coverage under the probabilistic sensing model. We overcome this difficulty by proposing a “reasonable” definition of k-coverage under such a model. We propose a sensor deployment scheme that uses less number of deployed sensor nodes while ensuring good coverage qualities so that (i) the resultant WSN is connected and (ii) the detection probability satisfies a predefined threshold p th , where 0 < p th < 1 . Our scheme uses a novel “zone 1 and zone 1–2” strategy, where zone 1 and zone 2 are a sensor node’s sensing regions that have the highest and the second highest detection probability, respectively, and zone 1–2 is the union of zones 1 and 2. The experimental results demonstrate the effectiveness of our scheme.

Energy-Efficient Coverage Based on Probabilistic Sensing Model in Wireless Sensor Networks

2010 ◽  
Vol 14 (9) ◽  
pp. 833-835 ◽  
Author(s):  
Jiming Chen ◽  
Junkun Li ◽  
Shibo He ◽  
Youxian Sun ◽  
Hsiao-Hwa Chen
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Sensing Model ◽  
Probabilistic Sensing Model
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