Work

Regional Density-aware Data Collection Using Unmanned Aerial Vehicle in Large-scale Wireless Sensor Networks

Year: 2018

Type: article

Abstract: This paper presents a regional density-aware data collection (RDDC) using unmanned aerial vehicles (UAVs) in large-scale wireless sensor networks (WSNs).The RDDC is designed to support fast data collection by adaptively adjusting the value of the minimum contention window (CW min ) of the sensor nodes depending on the regional node density of sensing fields.The operation of RDDC consists of the region-partitioning, node-scanning, and data-collecting phases.In the region-partitioning phase, the RDDC partitions the sensing field into multiple regions and assigns a region ID to each sensor node according to the region to which it belongs.In the node-scanning phase, the RDDC calculates the node density of each region.Finally, in the data-collecting phase, the RDDC assigns different CW min values to each sensor node considering the regional node density of each region.The experimental simulation results show that the RDDC obtains higher aggregate throughput and shorter delay than the existing data collection method.

Source: Sensors and Materials

DOI: 10.18494/sam.2018.1865

Authors: Eui-Jik Kim, Hyo Hyun Choi, Jung-Hyok Kwon

Institutions: Hallym University, Inha Technical College

Language: English

Topic: UAV Applications and Optimization

Subfield: Aerospace Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $748