Paper Info
Title
Unmanned Aerial Vehicle as Data Mule for Connecting Disjoint Segments of Wireless Sensor Network with Unbalanced Traffic
Abstract
This paper presents a method for federating disjoint segments of Wireless Sensor Networks (WSNs) in the presence of unbalanced traffic. The approach relies on an Unmanned Aerial Vehicle (UAV) for message ferrying. Network disconnections compromise the system operation, ergo an alternative to mitigate disconnections is important to extend the network lifetime. In our work, a UAV becomes a data mule, carrying physically packets across the disjoint partitions to assure network connection. The method presented in this article goes beyond previous work by taking into account the traffic situation among the network segments: highly communicating disjoint segments are visited more frequently than partitions with low outgoing/incoming traffic. Simulations realized evince the effectiveness of our system for concentrated traffic. In this case, a lower latency and data loss resulted when compared with the system without prioritization of highly communicating segments.
Year
DOI
Venue
2014
10.1109/ISORC.2014.51
Object/Component/Service-Oriented Real-Time Distributed Computing
Keywords
Field
DocType
autonomous aerial vehicles,telecommunication traffic,wireless sensor networks,WSN,concentrated traffic,data mule,message ferrying,network lifetime,unmanned aerial vehicle,wireless sensor networks,Disconnected Network,Message Ferrying,Traffic-Aware,Unmanned Aerial Vehicle,Wireless Sensor Network
Key distribution in wireless sensor networks,Disjoint sets,Data loss,Latency (engineering),Computer science,Network packet,Prioritization,Computer network,Real-time computing,Wireless sensor network,Network connection
Conference
ISSN
Citations 
PageRank 
1555-0885
3
0.40
References 
Authors
10
3
Name
Order
Citations
PageRank
Tales Heimfarth115522.72
João Paulo de Araujo2101.00
João Carlos Giacomin3203.15