Providing QoS to Real and Data Applications in WiMAX Mesh Networks

Sharma, Vinod; Kumar, Anurag; Sandeep, S.R.; Sankaran, Meenakshi

doi:10.1109/wcnc.2008.464

Cited by 4 publications

(3 citation statements)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most of the existing work that relates to our study focuses on devising centralized scheduling techniques that help in building routing trees of WiMAX OFDM TDMA/TDM mesh networks. The main goal is to maximize the total throughput 6–13. In Reference 6, the authors investigated the performance of the mesh mode by proposing an algorithm for constructing the WiMAX mesh tree.…”

Section: Related Studiesmentioning

confidence: 99%

“…The link with the largest flow in the network is considered as the link joining its corresponding SS to its immediate parent and all other links that join this SS to other possible parents are regarded as interference links. In Reference [13], the authors considered the problem of centralized routing and scheduling so as to provide quality of service (QoS) to individual real and interactive data applications.…”

Section: Related Studiesmentioning

confidence: 99%

See 1 more Smart Citation

DCLRRA: Distributed cross‐layer routing and resource allocation techniques for OFDMA‐based broadband wireless networks

Hayajneh¹,

Gadallah²

2010

Wireless Communications

View full text Add to dashboard Cite

In this study, we develop a fully distributed routing protocol for OFDMA‐based multihop broadband wireless access (BWA) networks such as those of IEEE 802.16j. We refer to this protocol as the DCLRRA protocol. DCLRRA is based on autonomous resource allocation schemes that we also derive in this paper. The routing protocol's selection of the proper resource allocation scheme is based on whether the relay stations (RSs) are nomadic or stationary. While we develop the autonomous resource allocation schemes, we exploit the multi‐user capabilities of the OFDMA physical layer. This allows simultaneous data transmission sessions within the same neighborhood while offering a total elimination of interference between transmitting nodes. The direct result of this strategy is increased throughput with high utilization of the communication channel. We examine our routing technique to show its performance merits through extensive simulations. Copyright © 2010 John Wiley & Sons, Ltd.

show abstract

Section: Related Studiesmentioning

confidence: 99%

Section: Related Studiesmentioning

confidence: 99%

DCLRRA: Distributed cross‐layer routing and resource allocation techniques for OFDMA‐based broadband wireless networks

Hayajneh¹,

Gadallah²

2010

Wireless Communications

View full text Add to dashboard Cite

show abstract

“…In order to ensure fairness, we maximize the minimum of the satisfied fractions of demand of the sensor nodes in the network. This notion of fairness has been previously used ( [28], [16]). The ratio of net flow from a node to the fusion node to the node's demanded rate is the satisfied fraction of demand for that node.…”

Section: Problem Formulationmentioning

confidence: 99%

Joint power control, scheduling and routing for multihop energy harvesting sensor networks

Joseph

Sharma

Mukherji

2009

Proceedings of the 4th ACM Workshop on Performance Monitoring and Measurement of Heterogeneous Wireless and Wired Networks

Self Cite

View full text Add to dashboard Cite

We study wireless multihop energy harvesting sensor networks employed for random field estimation. The sensors sense the random field and generate data that is to be sent to a fusion node for estimation. Each sensor has an energy harvesting source and can operate in two modes: Wake and Sleep. We consider the problem of obtaining jointly optimal power control, routing and scheduling policies that ensure a fair utilization of network resources. This problem has a high computational complexity. Therefore, we develop a computationally efficient suboptimal approach to obtain good solutions to this problem. We study the optimal solution and performance of the suboptimal approach through some numerical examples.

show abstract

An analytical framework for distributed coordinated scheduling in IEEE 802.16 wireless mesh networks

Cesar

Carvalho

2014

Ad Hoc Networks

View full text Add to dashboard Cite

Providing QoS to Real and Data Applications in WiMAX Mesh Networks

Cited by 4 publications

References 24 publications

DCLRRA: Distributed cross‐layer routing and resource allocation techniques for OFDMA‐based broadband wireless networks

DCLRRA: Distributed cross‐layer routing and resource allocation techniques for OFDMA‐based broadband wireless networks

Joint power control, scheduling and routing for multihop energy harvesting sensor networks

An analytical framework for distributed coordinated scheduling in IEEE 802.16 wireless mesh networks

Contact Info

Product

Resources

About