Optimization approach for a climbing robot with target tracking in WSNs

Abstract

Climbing robots are being developed for various applications. The confined space requires a compact locomotion system with vertical and overhead climbing ability. To achieve surface transition, Steering geometry Interaction system and static force are used. WSNs ubiquitous infrastructure and excellent coverage, they can be used for providing location information for various location-based services, especially in indoor environments. This structure is designed for a magnetic wall-climbing robot to gradually decrease the magnetic force when it is transiting between perpendicular magnetic surfaces. This paper describes the design process of a magnetic wall climbing robot, which adopts SgI and has the potential to carry materials in a confined space with an energy efficient system model. To resolve the problem of target tracking, it is essential to deploy a system model. Over the last two decades, several researchers have recommended many remote user authentication schemes. Researchers are continuously trying to enhance the security in material handling automation system by introducing several features into their work. A working prototype has been built based on the optimized dimension. Keywords: Climbing Robot, Surface transition, Wireless Sensor Networks (WSNs), Target Tracking, Static Force, Steering Geometry Interaction (SgI)