Optimizing the Static Path Planning (SPP) Methods and Path Length Analysis based on the Level Sensing Resolution of Sensor Node in Wireless Sensor Network (WSN)

摘要

Several mobile-assisted localization in Wireless Sensor Network (WSN) uses the trajectory-based movement of location-aware nodes in certain applications, particularly disaster application. Static path planning (SPP) methods were proposed by various researchers to know the position of nodes thereby reducing the GPS deployment cost. However, these approaches attempt to increase the total path length travelled by the mobile anchor node. This paper presents a new mathematical model for the analysis of the node path. The proposed mathematical model obtains the reduced revolutionary path length, the energy of the sensor node for all SPP and RTCPD. The various SPP methods such as Scan, Double scan, Hilbert, Concentric circles and S-curve were analysed with the proposed well-planned path (partial dynamic) method RTC. An RSSI tree climbing (partially dynamic approach) is based on the level sensing resolution of Location-Aware Mobile Node (LAMN‘s) broadcast range is compared.