Free-space optical wireless links with topology control

Milner, Stuart D.; Ho, Tzung-Hsien; Smolyaninov, Igor I.; Trisno, Sugianto; Davis, Christophér C.

doi:10.1117/12.450627

Cited by 15 publications

(8 citation statements)

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“…Research on the re-configurability of optical wireless networks is in its infancy, only few publications have seen the light. An approach to link flexibility of optical wireless networks is proposed in [5,8]. The approach is based on monitoring link states and reconfiguring the network topology according to a decision making process.…”

Section: Delay-constrained Topology Control: the Unbounded Casementioning

confidence: 99%

Adaptive Optical Wireless Networks: End-to-End Link Delay Optimization

Mahdy

Deogun²

2010

JCIT

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Wireless communications offer an attractive option for many military, commercial as well as personal communication needs because of flexibility, cost effectiveness, and mobility. The quality features of wireless communications have led to tremendous growth in the demand for wireless networks and has led to development of novel technologies that raise the need for broadband wireless communications. Optical wireless systems offer high transmission rates that can accommodate these broad-band needs. However, optical wireless links can be prone to atmospheric changes that can result in performance degradation. Therefore, optical wireless networks should have flexible links and must be adaptive. In this paper, we focus on the adaptability of optical wireless networks and propose new heuristics for the optimization of communication delay in a flexible link regime for networks with bounded and unbounded degree transceivers. Extensive simulations are conducted to evaluate the performance of the proposed heuristics to validate the improvement in network functionality as compared to the inadaptable environment. Simulation results show that networks adopting proposed heuristics achieve a 50% reduction in average packet delay as compared to inadaptable networks.

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Section: Delay-constrained Topology Control: the Unbounded Casementioning

confidence: 99%

Adaptive Optical Wireless Networks: End-to-End Link Delay Optimization

Mahdy

Deogun²

2010

JCIT

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“…Better performance could be achieved at a reasonable lower cost by implementing dynamic (reconfigurable) FSO network topologies [4]. These dynamic topologies are classified according to network resources sharing into cooperative and non-cooperative topologies.…”

Section: Introductionmentioning

confidence: 99%

“…These dynamic topologies are classified according to network resources sharing into cooperative and non-cooperative topologies. In dynamic noncooperative FSO network topologies no resources are shared among different users [4]. Users with bad links switch their traffic to users with relatively better links and the transmission rate of each user is kept the same.…”

Section: Introductionmentioning

confidence: 99%

Fair cooperative resource allocation schemes for foggy free space optical network

Ghazy

Selmy

Shalaby

2015

2015 17th International Conference on Transparent Optical Networks (ICTON)

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Two new resource allocation schemes are proposed for foggy reconfigurable free space optical (FSO) networks. The schemes are formulated as multi-objective optimization problems (MOP). The MOP is composed of lexicographic lex-max-min and Lex-min-max optimization. One of these schemes enhances reliability and fairness over network capacity while the other scheme does the opposite. The simulation results reveal that two schemes have higher reliability and fairness over robust static topology (relay network).

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“…The major drawback of these solutions is increasing number of implemented optical transceivers. The dynamic (reconfigurable) FSO networks are proposed to reduce this number while maintaining acceptable network performance which presented in fairness and reliability (reduction of dropped FSO nodes number) [2]. The dynamic FSO networks are classified according to resource sharing into cooperative and non-cooperative.…”

Section: Introductionmentioning

confidence: 99%