Sensor Deployment Distribution Effect on Intrusion Distance in Wireless Sensor Networks

This paper investigates uniform distribution and Gaussian distribution effect on intrusion detection performance in wireless sensor networks (WSN). Deployed sensor number and sensing range of individual sensors on the intrusion distance are investigated for both the single-sensing and multiple-sensing cases, under the homogeneous sensing condition. Numerical simulations show that, the Gaussian distribution can be served as an efficient distribution for a small value of sensor number or a short sensing range. For a large sensor number or a big sensing range, the uniform distribution however shows better performance. Theoretical analyses are also implemented, and the results are well consistent with those obtained by the numerical simulations.