Volume 18, Special Issue on Computing Technology and Information Management, 2021
Detection of Outdated Sensors in Wireless Network via a New Protocol
Hasanian Ali Thuwaib, Ridhab Sami Abd-Ali and Safaa Hadi Abdula Ali Altai
Abstract
A novel method is proposed using the nonlinear mapping with kernel functions to correctly locate the outdated sensors in a wireless sensor network (WSN). Such detection system used Cornell regression and solved via the vector support regression (VSR) plus multi-dimensional backup vector regression (MBVSR). The developed method was simplistic and effective without the need of any additional hardware for any measurement. It required only the vicinity and information of location from the anchor nodes to detect the outdated sensors. It was achieved in three stages including the measurements, kernel regression, and stepping stage. First step measured the proximity information from a given grid. The relationships between the proximity and geographic distance among the sensors’ nodes were generated in the kernel regression stage. For the stepping phase, every sensor node found its location in the distributed way via the kernel regression. Simulation results showed the robustness and high efficiency of the proposed scheme.
Pages: 526-539
DOI: 10.14704/WEB/V18SI04/WEB18146
Keywords: WSN, Sensors, SVR, MSVR, Nonlinear Mapping, Kernel Function.