JOURNAL ARTICLE

Cross-Layer Mixed Bias Scheduling for Wireless Mesh Networks

Abstract

In this paper we propose a mixed bias approach which makes use of cross layer optimization. The cross-layer parameters are based on conditions in the network from multiple layers and are used to determine resource and time allocation for nodes in the network. Unlike existing proposals, we propose to bias against several parameters such as link quality and queue size in addition to node distance. We also propose a combined mixed bias approach which takes into account multiple parameters together. The scheme is evaluated using simulation experiments. The performance results are reported in this paper.

Keywords:
Computer science Queue Wireless mesh network Scheduling (production processes) Wireless network Node (physics) Computer network Queueing theory Distributed computing Wireless Mathematical optimization Telecommunications Mathematics Engineering

Metrics

6
Cited By
1.85
FWCI (Field Weighted Citation Impact)
15
Refs
0.85
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Mobile Ad Hoc Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Cooperative Communication and Network Coding
Physical Sciences →  Computer Science →  Computer Networks and Communications

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