WSN nodes location

Introduction

• In the 5G network architecture, IoT will interconnect devices with various potentials during the identical heterogeneous network
• Wireless Sensor Networks (WSN) is the core technology of the IoT.
• Large-scale WSN positioning in the IoT, that is, to locate unknown nodes through the information of known nodes, is a key technology to solve entity position problems in specific environments (such as environmental monitoring and intrusion positioning)

Preliminary

Particle Swarm Optimization

• High efficiency, good robustness and easy convergence.
• But easy to fall into local optimization

Simulated Annealing

• Can jump out of the local optimal solution with a certain probability

Methodology

• Introduce the SA algorithm to break through the local optimal characteristics
• Improve the acceptance process of PSO algorithm in individual extreme value update

Experiments & Discussions

Critical Analysis

1. Existing Flaws

• PSO traditional inertia weight
• PSO fixer learning Factor
• SA inner loop

2. Improvement Directions

• PSO dynamic inertia weight
• PSO contraction learning factor
• SA inner loop with adaptive sampling stability condition
• Large scale node location (number, range) conditions should be considered (already been implemented in my publication)