Accelerated collection of sensor data by mobility-enabled topology ranks.

Angelopoulos, C.M. and Nikoletseas, S., 2010. Accelerated collection of sensor data by mobility-enabled topology ranks. Journal of Systems and Software, 83 (12), 2471 - 2477.

Full text available as:

[img]
Preview
PDF
Accelerated Collection of Sensor Data by Mobility-enabled Topology Ranks.pdf - Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.

201kB

DOI: 10.1016/j.jss.2010.07.035

Abstract

We study the problem of fast and energy-efficient data collection of sensory data using a mobile sink, in wireless sensor networks in which both the sensors and the sink move. Motivated by relevant applications, we focus on dynamic sensory mobility and heterogeneous sensor placement. Our approach basically suggests to exploit the sensor motion to adaptively propagate information based on local conditions (such as high placement concentrations), so that the sink gradually “learns” the network and accordingly optimizes its motion. Compared to relevant solutions in the state of the art (such as the blind random walk, biased walks, and even optimized deterministic sink mobility), our method significantly reduces latency (the improvement ranges from 40% for uniform placements, to 800% for heterogeneous ones), while also improving the success rate and keeping the energy dissipation at very satisfactory levels

Item Type:Article
ISSN:1873-1228
Uncontrolled Keywords:Wireless sensor networks; Mobility; Data collection
Group:Faculty of Science & Technology
ID Code:26518
Deposited By: Unnamed user with email symplectic@symplectic
Deposited On:24 Jan 2017 10:30
Last Modified:24 Jan 2017 10:30

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -