Real-Time Handoff in Solar/Battery Powered ESS Mesh Networks

Fashandi, Shervan; Todd, T.D.

doi:10.1109/pimrc.2005.1651692

Cited by 5 publications

(2 citation statements)

References 10 publications

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“…Performing handoffs in traditional IEEE 802.11-based WMNs requires considerable signaling overhead, which can cause a long delay to data transmissions. Therefore, the main objective for handoff management in IEEE 802.11-based WMNs has been either reducing handoff delay to achieve fast handoffs, e.g., (Zhao and Xie, 2010), (Chen et al, 2008), (Fashandi and Todd, 2005), (Chi et al, 2006), or minimizing packet losses during handoffs, e.g., (Wei et al, 2006). Although adjusting the MS-AP associations can balance the traffic loads among the APs, such as in (Velayos et al, 2004), (Elshenawy et al, 2009), (Zhao, 2007), providing fair services to individual MSs is not considered in these works.…”

Section: Mobility and Handoffmentioning

confidence: 99%

Channel Time Allocations and Handoff Management for Fair Throughput in Wireless Mesh Networks

Qin¹,

Zhao

2015

IEEE Trans. Veh. Technol.

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Wireless mesh networks (WMNs) have been widely deployed for various applications.In contrast to a pure ad hoc network, a WMN having an infrastructure formed by fixed access points (APs) can provide relatively reliable transmissions for forwarding data to and from mobile stations (MSs). The fixed infrastructure also provides chances for effectively supporting various services, better utilizing the radio resources, and improving other network performance. On the other hand, in a WMN with a large number of APs and MSs, maintaining the service fairness among the MSs located in different geographical areas and having different mobility patterns can be difficult.In this thesis, we study how to provide fair throughput for MSs in a WMN by joint channel time allocations and handoff management, where the channel time is allocated at two levels, one among the APs, and another among the MSs associated to the same AP.In the first part of the thesis, we assume that the channel time allocations at the AP level are given, and jointly consider the handoff management of the MSs and the channel time allocations at the MS level. An optimization problem is formulated based on long-term proportional fairness (PF), so that all the MSs in the entire WMN can receive fair average throughput, while the total throughput of the MSs is maximized. The optimum solution is based on the assumption of having global information iv about the channel conditions and mobility information of all the MSs, and cannot be easily implemented in a practical system. A heuristic scheme is then proposed, which allows each AP to allocate its channel time based on local information only, and the handoff decisions of the MSs are based on information exchanged between neighboring APs. Numerical results show that performance of the proposed heuristic scheme is very close to the optimum in terms of both fairness and throughput.In the second part of thesis, we consider that different APs can share the same frequency channel and should coordinate for their transmission time, so that neighboring APs sharing the same frequency channel do not transmit at the same time in order to avoid strong co-channel interference. We jointly study the channel time allocations

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Section: Mobility and Handoffmentioning

confidence: 99%

Channel Time Allocations and Handoff Management for Fair Throughput in Wireless Mesh Networks

Qin¹,

Zhao

2015

IEEE Trans. Veh. Technol.

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“…This introduces delay for the APs to react to any network condition changes. How to reduce the delay for performing handoffs while maximizing the AP sleep time is studied in [12]. Another method is that the APs can adaptively adjust their transmission power and rate to each MS based on the link conditions and resource availability, so that the required throughput is provided with the minimum energy from the AP.…”

Section: Introductionmentioning

confidence: 99%

Joint Handoff and Energy Management for a Wireless Mesh Network

Yang

Zhao

2011

2011 IEEE International Conference on Communications (ICC)

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A lot of access points (APs) in wireless mesh networks (WMNs) are battery powered. In order to minimize their energy consumption, the APs can adaptively adjust their transmission power and time based on various network conditions. In this paper, the problem of minimizing the AP energy consumption is formulated as an optimization problem with the constraint to satisfy the throughput requirements of associated mobile stations (MSs). Balancing the AP energy consumption can be challenging in a network with high and random user mobility, which can easily result in unbalanced traffic load and energy consumption among the APs. Two distributed handoff schemes are proposed for a WMN with adaptive transmission power and rate. One scheme attempts to achieve balanced energy consumption among the APs during each scheduling interval, and the other scheme balances the AP energy consumption over a longer term. Numerical results show that both schemes achieve much longer network lifetime than the traditional distance-based handoff scheme, while the long-term based handoff scheme can achieve the objective with approximately the same number of handoffs as the distancebased handoff.

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