On Exploring Data Forwarding Problem in Opportunistic Underwater Sensor Network Using Mobility-Irregular Vehicles

Data forwarding techniques in opportunistic underwater sensor networks (OUSNs) are significantly different from those of wireless sensor networks or delay-tolerant networks, due to the irregular mobility of nodes. To this end, an Opportunistic Forwarding Algorithm based on Irregular Mobility (OFAIM)...

Full description

Saved in:
Bibliographic Details
Published in:IEEE transactions on vehicular technology 2015-10, Vol.64 (10), p.4712-4727
Main Authors: Liu, Linfeng, Liu, Ye
Format: Article
Language:English
Subjects:
data delivery ratio
Delays
Information dissemination
irregular mobility
Mathematical analysis
Messages
Mobile communication
Networks
opportunistic underwater sensor networks
Peer-to-peer computing
Propagation delay
Remote sensors
Routing
Sensors
Trajectory
Underwater
Vectors (mathematics)
Wireless sensor networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Data forwarding techniques in opportunistic underwater sensor networks (OUSNs) are significantly different from those of wireless sensor networks or delay-tolerant networks, due to the irregular mobility of nodes. To this end, an Opportunistic Forwarding Algorithm based on Irregular Mobility (OFAIM) is proposed hereby, which intermittently computes and chooses the appropriate paths of an end-to-end data session. In OFAIM, the contacting probabilities among nodes are estimated according to current nodes statuses. OFAIM is particularly suitable for heterogeneous networks composed of nodes with different communication and movement ranges. The performance of OFAIM is also analyzed through simulations, which indicate that OFAIM achieves a satisfactory delivery ratio (larger than 67% at the worst case) within a limited duration, while the message cost is largely reduced (the number of forwarding copies at every slot is restricted to two or three) compared with epidemic forwarding, motion vector forwarding, and predict and spread forwarding.
ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2014.2368571