Paper Info
Title
A Localization Method for Underwater Wireless Sensor Networks Based on Mobility Prediction and Particle Swarm Optimization Algorithms.
Abstract
Due to their special environment, Underwater Wireless Sensor Networks (UWSNs) are usually deployed over a large sea area and the nodes are usually floating. This results in a lower beacon node distribution density, a longer time for localization, and more energy consumption. Currently most of the localization algorithms in this field do not pay enough consideration on the mobility of the nodes. In this paper, by analyzing the mobility patterns of water near the seashore, a localization method for UWSNs based on a Mobility Prediction and a Particle Swarm Optimization algorithm (MP-PSO) is proposed. In this method, the range-based PSO algorithm is used to locate the beacon nodes, and their velocities can be calculated. The velocity of an unknown node is calculated by using the spatial correlation of underwater object's mobility, and then their locations can be predicted. The range-based PSO algorithm may cause considerable energy consumption and its computation complexity is a little bit high, nevertheless the number of beacon nodes is relatively smaller, so the calculation for the large number of unknown nodes is succinct, and this method can obviously decrease the energy consumption and time cost of localizing these mobile nodes. The simulation results indicate that this method has higher localization accuracy and better localization coverage rate compared with some other widely used localization methods in this field.
Year
DOI
Venue
2016
10.3390/s16020212
SENSORS
Keywords
Field
DocType
particle swarm optimization,mobility prediction,localization,underwater wireless sensor networks,mobility patterns
Particle swarm optimization,Spatial correlation,Underwater wireless sensor networks,Algorithm,Electronic engineering,Mobility prediction,Engineering,Energy consumption,Computation complexity,Underwater
Journal
Volume
Issue
ISSN
16
2.0
1424-8220
Citations 
PageRank 
References 
7
0.51
11
Authors
4
Name
Order
Citations
PageRank
Ying Zhang1203.90
Jixing Liang2172.14
Shengming Jiang363162.04
Wei Chen47116.13