PGSA-Based Localization Algorithm for Wireless Sensor Network

Abstract

This paper proposes a novel localization algorithm for wireless sensor network (WSN). Accurate localization is very important for WSN. WSN localization problem is sometimes regarded as an optimization problem. Plant growth simulation algorithm (PGSA) is a kind of new intelligent optimization algorithm, which is intelligent simulation of plant growth in natural way. In addition to the common characteristics of intelligent algorithms, PGSA show robustness and provides a global optimal solution, etc. In this paper, further enhancement of the algorithm by adding the plant root of adaptive backlight function to effectively improve the computing speed and localization precision has been reported. Comparing this algorithm with simulated annealing algorithm (SAA), simulation resultsshow that this algorithm has a higher and more consistent localization precision and faster computational speed.

Square grid Path Planning for Mobile Anchor-Based Localization in Wireless Sensor Networks

“…. into four distinct categories: connectivity localization algorithms [23,36], centroid localization algorithms [3,12], energy attenuation localization algorithms [42,52], and region overlap localization algorithms [28,31,51].…”

Hardware Implementation of Methodologies of Fixed Point Division Algorithms

“…10, NO. 3, SEPTEMBER 2017 find the different functions such as node's wakening probability, morphactin concentration and probability density [14][15], and in image compression to estimate the value of transfer function of wiener filter [16]. Now a days, high speed along with high clock frequency with less chip area is desirable for most of the system application.…”

“…Though division is an infrequent operation but it has lots of application in common fields like digital signal processing, computer graphics and image processing [11] and in some specific fields like in robotics to calculate position and orientation values [12][13] find the different functions such as node's wakening probability, morphactin concentration and probability density [14][15], and in image compression to estimate the value of transfer function of wiener filter [16]. Now a days, high speed along with high clock frequency with less chip area is desirable for most of the system application.…”