Paper Info
Title
Path Diversity Improved Opportunistic Routing for Underwater Sensor Networks.
Abstract
The packets carried along a pre-defined route in underwater sensor networks are very vulnerble. Node mobility or intermittent channel availability easily leads to unreachable routing. Opportunistic routing has been proven to be a promising paradigm to design routing protocols for underwater sensor networks. It takes advantage of the broadcast nature of the wireless medium to combat packet losses and selects potential paths on the fly. Finding an appropriate forwarding candidate set is a key issue in opportunistic routing. Many existing solutions ignore the impact of candidates location distribution on packet forwarding. In this paper, a path diversity improved candidate selection strategy is applied in opportunistic routing to improve packet forwarding efficiency. It not only maximizes the packet forwarding advancements but also takes the candidate's location distribution into account. Based on this strategy, we propose two effective routing protocols: position improved candidates selection (PICS) and position random candidates selection (PRCS). PICS employs two-hop neighbor information to make routing decisions. PRCS only uses one-hop neighbor information. Simulation results show that both PICS and PRCS can significantly improve network performance when compared with the previous solutions, in terms of packet delivery ratio, average energy consumption and end-to-end delay.
Year
DOI
Venue
2018
10.3390/s18041293
SENSORS
Keywords
Field
DocType
underwater sensor networks,opportunistic routing,candidates selection,candidate coordination
Broadcasting,Underwater sensor networks,Wireless,Network packet,Computer network,Electronic engineering,Engineering,Energy consumption,Packet forwarding,Routing protocol,Network performance
Journal
Volume
Issue
ISSN
18
4.0
1424-8220
Citations 
PageRank 
References 
0
0.34
13
Authors
4
Name
Order
Citations
PageRank
Bai Weigang131.43
Haiyan Wang23916.48
Ke He371.45
Ruiqin Zhao4163.66