Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Promoting the use of end-to-end congestion control in the Internet
IEEE/ACM Transactions on Networking (TON)
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Fair end-to-end window-based congestion control
IEEE/ACM Transactions on Networking (TON)
Dynamic Load Balancing on Web-Server Systems
IEEE Internet Computing
A high-throughput path metric for multi-hop wireless routing
Proceedings of the 9th annual international conference on Mobile computing and networking
Routing in multi-radio, multi-hop wireless mesh networks
Proceedings of the 10th annual international conference on Mobile computing and networking
An M/MMGI/1/K queuing model for IEEE 802.11 ad hoc networks
PE-WASUN '04 Proceedings of the 1st ACM international workshop on Performance evaluation of wireless ad hoc, sensor, and ubiquitous networks
Load-balanced routing for mesh networks
ACM SIGMOBILE Mobile Computing and Communications Review
A Routing Metric for Load-Balancing in Wireless Mesh Networks
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
An efficient multipath structure for concurrent data transport in wireless mesh networks
Computer Communications
Joint MAC-aware routing and load balancing in mesh networks
CoNEXT '07 Proceedings of the 2007 ACM CoNEXT conference
Asymptotic Capacity of Infrastructure Wireless Mesh Networks
IEEE Transactions on Mobile Computing
IEEE/ACM Transactions on Networking (TON)
Capacity-aware routing in heterogeneous mesh networks: an analytical approach
Proceedings of the 12th ACM international conference on Modeling, analysis and simulation of wireless and mobile systems
Wireless mesh networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
GLBM: A new QoS aware multicast scheme for wireless mesh networks
Journal of Systems and Software
Load-aware routing in mesh networks: Models, algorithms and experimentation
Computer Communications
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Scalable Web server clustering technologies
IEEE Network: The Magazine of Global Internetworking
A comparison of load balancing techniques for scalable Web servers
IEEE Network: The Magazine of Global Internetworking
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In recent times, wireless technology has emerged as a key technology for many data intensive applications such as Video on Demand (VoD), Voice over IP (VoIP), high speed internet access, video conferencing, etc. All these applications require high data rate so that data can be transmitted to the end users in a prioritised manner. The underlying system that suits these applications better is the Wireless Mesh Network (WMN), because it is a special type of network which is cost effective, resilient and adaptive. To preserve the Quality of Service (QoS) for all these applications, in this paper, we propose a Load Balancing and Adaptive Scheduling (LBAS) algorithm for data intensive prioritised traffic in WMNs. To schedule the incoming traffic, the Available Capacity (AC) and Load Index (LI) of each link is calculated. A new Cost Evaluation Function (CEF) is defined based upon the values of AC and LI. Each traffic flow is also associated with Rate Index (RI) and Delay Estimation (DE). Each link has lower and upper bounds on AC, and as soon as the load on a particular link crosses these bounds, the load is transferred to another link dynamically at run time. Higher priority traffic will be assigned to the link having high value of AC to minimise DE, and simultaneously, a matrix for LI is also constructed. This matrix is used to keep track of the system load at run time, so that scheduling can be done for the incoming traffic in a prioritised manner based upon the values of AC and LI. The performance of the proposed algorithm is evaluated using simulations on ns-2 with respect to various metrics. The results obtained show that the proposed algorithm is quite effective for balancing the load of multiclass traffic flows.