DocumentCode :
1791890
Title :
Fault-tolerant topology control in aeronautical ad hoc networks
Author :
Jie Li ; Erling Gong ; Zhiqiang Sun ; Long Li ; Hongwei Xie
Author_Institution :
Coll. of Mechatron. Eng. & Autom., Nat. Univ. of Defense Technol., Changsha, China
fYear :
2014
fDate :
3-6 Aug. 2014
Firstpage :
368
Lastpage :
372
Abstract :
Aeronautical ad hoc network (AANET) is a new sort of mobile ad hoc network (MANET) whose airborne nodes (ANs) move fleetly and the corresponding topology changes rapidly. Fault-tolerance against node failures is a desirable property for communication topology of such networks especially when AANET is used for military applications. ANs rapidly move depending on the objective they try to achieve, thus the topology needs to be controlled periodically. ANs have a fixed transmission range, so additional relay nodes (RNs) are required for construction of a fault-tolerant topology among network nodes. As ANs move, the RNs need to move as well and it is desirable to move them a minimum amount to re-establish the topology as quickly as possible. We propose an online algorithm for RNs´ movement control to maintain the AANET fault-tolerant during running time and the total distance RNs need to move is minimum. We show via simulations that the algorithm has good performance and it is applicable to the highly-dynamic aeronautical environment.
Keywords :
military communication; mobile ad hoc networks; relay networks (telecommunication); telecommunication control; telecommunication network topology; AANET; MANET; RN; aeronautical ad hoc networks; airborne nodes; communication topology; fault-tolerant topology control; highly-dynamic aeronautical environment; military applications; mobile ad hoc network; online algorithm; relay nodes; Aircraft; Approximation algorithms; Fault tolerance; Fault tolerant systems; Network topology; Relays; Topology; Aeronautical ad hoc networks; fault tolerance; network connectivity; topology;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-1-4799-3978-7
Type :
conf
DOI :
10.1109/ICMA.2014.6885725
Filename :
6885725
Link To Document :
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