11,954 research outputs found
Bandwidth-guaranteed fair scheduling with effective excess bandwidth allocation for wireless networks
Traffic scheduling is key to the provision of quality of service (QoS) differentiation and guarantees in wireless networks. Unlike its wireline counterpart, wireless communications pose special channel-specific problems such as time-varying link capacities and location-dependent errors. These problems make designing efficient and effective traffic scheduling algorithms for wireless networks very challenging. Although many wireless packet scheduling algorithms have been proposed in recent years, issues such as how to improve bandwidth efficiency and maintain goodput fairness with various link qualities for power-constrained mobile hosts remain unresolved. In this paper, we devise a simple wireless packet scheduling algorithm called bandwidth-guaranteed fair scheduling with effective excess bandwidth allocation (BGFS-EBA), which addresses these issues. Our studies reveal that BGFS-EBA effectively distributes excess bandwidth, strikes a balance between effort-fair and outcome-fair, and provides a delay bound for error-free flows and transmission effort guarantees for error-prone flows. © 2008 IEEE.published_or_final_versio
Wireless packet scheduling for two-state link models
Packet scheduling is key to the provision of Quality of Service (QoS) differentiation and guarantees in a wireless network. Unlike its wireline counterpart, wireless communication poses special problems such as time-varying link capacity and location-dependent errors. These special problems make designing efficient and effective scheduling algorithms for wireless networks very challenging. Although many wireless scheduling algorithms have been proposed in recent years, some issues remain unresolved. This paper introduces a new wireless scheduling algorithm called BGFS-EBA (bandwidth-guaranteed fair scheduling with effective excess bandwidth allocation), which addresses these issues. It is shown that BGFS-EBA distributes excess bandwidth effectively, strikes a balance between effort-fair and outcome-fair, and provides delay bound for error-free flows and transmission effort guarantees for error-prone flows. The new algorithm is compared with some recent wireless scheduling algorithms.published_or_final_versio
Fair Scheduling in Networks Through Packet Election
We consider the problem of designing a fair scheduling algorithm for
discrete-time constrained queuing networks. Each queue has dedicated exogenous
packet arrivals. There are constraints on which queues can be served
simultaneously. This model effectively describes important special instances
like network switches, interference in wireless networks, bandwidth sharing for
congestion control and traffic scheduling in road roundabouts. Fair scheduling
is required because it provides isolation to different traffic flows; isolation
makes the system more robust and enables providing quality of service. Existing
work on fairness for constrained networks concentrates on flow based fairness.
As a main result, we describe a notion of packet based fairness by establishing
an analogy with the ranked election problem: packets are voters, schedules are
candidates and each packet ranks the schedules based on its priorities. We then
obtain a scheduling algorithm that achieves the described notion of fairness by
drawing upon the seminal work of Goodman and Markowitz (1952). This yields the
familiar Maximum Weight (MW) style algorithm. As another important result we
prove that algorithm obtained is throughput optimal. There is no reason a
priori why this should be true, and the proof requires non-traditional methods.Comment: 14 pages (double column), submitted to IEEE Transactions on
Information Theor
A Fair and Efficient Packet Scheduling Scheme for IEEE 802.16 Broadband Wireless Access Systems
This paper proposes a fair and efficient QoS scheduling scheme for IEEE
802.16 BWA systems that satisfies both throughput and delay guarantee to
various real and non-real time applications. The proposed QoS scheduling scheme
is compared with an existing QoS scheduling scheme proposed in literature in
recent past. Simulation results show that the proposed scheduling scheme can
provide a tight QoS guarantee in terms of delay, delay violation rate and
throughput for all types of traffic as defined in the WiMAX standard, thereby
maintaining the fairness and helps to eliminate starvation of lower priority
class services. Bandwidth utilization of the system and fairness index of the
resources are also encountered to validate the QoS provided by our proposed
scheduling scheme
Wireless Power Transfer and Data Collection in Wireless Sensor Networks
In a rechargeable wireless sensor network, the data packets are generated by
sensor nodes at a specific data rate, and transmitted to a base station.
Moreover, the base station transfers power to the nodes by using Wireless Power
Transfer (WPT) to extend their battery life. However, inadequately scheduling
WPT and data collection causes some of the nodes to drain their battery and
have their data buffer overflow, while the other nodes waste their harvested
energy, which is more than they need to transmit their packets. In this paper,
we investigate a novel optimal scheduling strategy, called EHMDP, aiming to
minimize data packet loss from a network of sensor nodes in terms of the nodes'
energy consumption and data queue state information. The scheduling problem is
first formulated by a centralized MDP model, assuming that the complete states
of each node are well known by the base station. This presents the upper bound
of the data that can be collected in a rechargeable wireless sensor network.
Next, we relax the assumption of the availability of full state information so
that the data transmission and WPT can be semi-decentralized. The simulation
results show that, in terms of network throughput and packet loss rate, the
proposed algorithm significantly improves the network performance.Comment: 30 pages, 8 figures, accepted to IEEE Transactions on Vehicular
Technolog
Breaking the Legend: Maxmin Fairness notion is no longer effective
In this paper we analytically propose an alternative approach to achieve
better fairness in scheduling mechanisms which could provide better quality of
service particularly for real time application. Our proposal oppose the
allocation of the bandwidth which adopted by all previous scheduling mechanism.
It rather adopt the opposition approach be proposing the notion of
Maxmin-charge which fairly distribute the congestion. Furthermore, analytical
proposition of novel mechanism named as Just Queueing is been demonstrated.Comment: 8 Page
Efficient Resource Management Mechanism for 802.16 Wireless Networks Based on Weighted Fair Queuing
Wireless Networking continues on its path of being one of the most commonly used means of communication. The evolution of this technology has taken place through the design of various protocols. Some common wireless protocols are the WLAN, 802.16 or WiMAX, and the emerging 802.20, which specializes in high speed vehicular networks, taking the concept from 802.16 to higher levels of performance. As with any large network, congestion becomes an important issue. Congestion gains importance as more hosts join a wireless network. In most cases, congestion is caused by the lack of an efficient mechanism to deal with exponential increases in host devices. This can effectively lead to very huge bottlenecks in the network causing slow sluggish performance, which may eventually reduce the speed of the network. With continuous advancement being the trend in this technology, the proposal of an efficient scheme for wireless resource allocation is an important solution to the problem of congestion. The primary area of focus will be the emerging standard for wireless networks, the 802.16 or “WiMAX”. This project, attempts to propose a mechanism for an effective resource management mechanism between subscriber stations and the corresponding base station
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