Cross-Layer Design for QoS Support in Multihop Wireless Networks

Zhang, Qian; Zhang, Yaqin

doi:10.1109/jproc.2007.909930

Cited by 151 publications

(82 citation statements)

References 71 publications

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“…A cross-layer approach seeks to enhance the performance of a system by breaking the independence of the layers by jointly designing multiple protocol layers. Zhang & Zhang (2008) surveys multiple possibilities for cross-layer interactions in wireless multihop networks. Fuzzy set theory has also been used for enhancing the QoS in wireless networks.…”

Section: Qos In Wireless Networkmentioning

confidence: 99%

Fuzzy Based Flow Management of Real-Time Traffic for Quality of Service in WLANs

Frantti¹,

Majanen²

2011

Expert Systems for Human, Materials and Automation

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Section: Qos In Wireless Networkmentioning

confidence: 99%

Fuzzy Based Flow Management of Real-Time Traffic for Quality of Service in WLANs

Frantti¹,

Majanen²

2011

Expert Systems for Human, Materials and Automation

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“…Researchers have been working continuously towards QoS support in WSNs and have proposed some methodologies for that purpose. To name a few, Network Layer based QoS support in terms of routing protocols [12],Cross Layer based QoS support [27] and Middleware layer based QoS support [13] are the most prominent types of approaches for QoS support in WSNs.…”

Section: Introductionmentioning

confidence: 99%

Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges

Bhuyan¹,

Sarma²,

Sarma³

et al. 2010

WSN

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Wireless sensor networks (WSNs) are required to provide different levels of Quality of Services (QoS) based on the type of applications. Providing QoS support in wireless sensor networks is an emerging area of research. Due to resource constraints like processing power, memory, bandwidth and power sources in sensor networks, QoS support in WSNs is a challenging task. In this paper, we discuss the QoS requirements in WSNs and present a survey of some of the QoS aware routing techniques in WSNs. We also explore the middleware approaches for QoS support in WSNs and finally, highlight some open issues and future direction of research for providing QoS in WSNs.

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“…As surveyed by Zhang and Zhang (2008); Hanzo and Tafazolli (2007); Zhang and Mouftah (2005); Al- Karaki and Kamal (2004), a large number of QoS support communication protocols have been proposed for WSNs recently. Most of these protocols are based on network traffic engineering, i.e., sensor nodes maintain network state information (e.g., transmission delay, outage event probability and available communication bandwidth) and use various algorithms to perform QoS routes' computation and maintenance.…”

Section: Introductionmentioning

confidence: 99%

MRL-CC: a novel cooperative communication protocol for QoS provisioning in wireless sensor networks

Liang

Chen

Xiao

et al. 2010

IJSNET

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Abstract:Cooperative communications have been demonstrated to be effective in combating the multiple fading effects in wireless networks, and improving the network performance in terms of adaptivity, reliability, data throughput and network lifetime. In this paper, we investigate the use of cooperative communications for quality of service (QoS) provisioning in resource-constrained wireless sensor networks, and propose MRL-CC, a Multi-agent Reinforcement Learning based multi-hop mesh Cooperative Communication mechanism. In MRL-CC, a multi-hop mesh cooperative structure is constructed for reliable data disseminations. The cooperative mechanism that defines cooperative partner assignments, and coding and transmission schemes is implemented using a multi-agent reinforcement learning algorithm. We compare the network performance of MRL-CC with MMCC (Chen et al., 2009), a Multi-hop Mesh structure based Cooperative Communication scheme, and investigate the impacts of network traffic load, interference and sensor node's mobility on the network performance. Simulation results show that MRL-CC performs well in terms of a number of QoS metrics, and fits well in large-scale networks and highly dynamic environments.

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Cross-Layer Design for QoS Support in Multihop Wireless Networks

Cited by 151 publications

References 71 publications

Fuzzy Based Flow Management of Real-Time Traffic for Quality of Service in WLANs

Fuzzy Based Flow Management of Real-Time Traffic for Quality of Service in WLANs

Quality of Service (QoS) Provisions in Wireless Sensor Networks and Related Challenges

MRL-CC: a novel cooperative communication protocol for QoS provisioning in wireless sensor networks

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