123 research outputs found
An Adaptive Multimedia-Oriented Handoff Scheme for IEEE 802.11 WLANs
Previous studies have shown that the actual handoff schemes employed in the
IEEE 802.11 Wireless LANs (WLANs) do not meet the strict delay constraints
placed by many multimedia applications like Voice over IP. Both the active and
the passive supported scan modes in the standard handoff procedure have
important delay that affects the Quality of Service (QoS) required by the
real-time communications over 802.11 networks. In addition, the problem is
further compounded by the fact that limited coverage areas of Access Points
(APs) occupied in 802.11 infrastructure WLANs create frequent handoffs. We
propose a new optimized and fast handoff scheme that decrease both handoff
latency and occurrence by performing a seamless prevent scan process and an
effective next-AP selection. Through simulations and performance evaluation, we
show the effectiveness of the new adaptive handoff that reduces the process
latency and adds new context-based parameters. The Results illustrate a QoS
delay-respect required by applications and an optimized AP-choice that
eliminates handoff events that are not beneficial.Comment: 20 pages, 14 figures, 4 table
Application of the DQCA protocol to the optimization of wireless communications systems in cellular environments
This final career thesis (Master thesis) is a contribution on the enhancement of
wireless communications, specifically WLAN multi-cell systems based on the
IEEE 802.11 standard. The objectives were to propose and study different
Cross-Layer AP selection mechanisms that include single, dual and multiple
metric based criteria using PHY-MAC interactions. These mechanisms are
designed in order to improve system efficiency through the increase of the
utilization of the available transmission resources. The key idea of these
mechanisms is to make use of certain PHY and MAC parameters, other than
the traditional RSSI measurements, in order to optimize the association to the
best AP, specially focusing on the innovative use of MAC level state metrics. In
this regard, of special interest is the inclusion of MAC level AP traffic load
estimations within these association decisions.
All the proposals are based on the use of a high-performance MAC protocol
called DQCA (Distributed Queueing Collision Avoidance), which is specially
fitted to include the proposed techniques. Computer simulations have been
carried out to evaluate and quantify the benefits of the proposed mechanisms
and techniques in representative scenarios. Moreover, a completely new
handoff procedure has been designed for the DQCA muti-cell operation. This
handoff process allows implementing each of the proposed AP selection
mechanisms.
Furthermore, the interaction between a Cross-Layer scheduling technique at
the MAC level and two proposed AP selection mechanisms has also been
studied. The performance of these techniques has also been assessed by
means of computer simulations.
The analysis of the obtained results show that the proposed mechanisms
perform differently under the considered scenarios. However, the main
conclusion that can be drawn is that AP selection mechanisms that are based
on joint multiple metrics considerations (SNR, AP load, delay, etc.) perform
significantly better than those that use only single or dual metric based
mechanisms.
After the study, we can conclude that the proposed techniques and
mechanisms provide significant efficiency enhancements for DQCA-based
WLAN multi-cell systems so that all of them may be taken into account in future
wireless networks
Handover Necessity Estimation for 4G Heterogeneous Networks
One of the most challenges of 4G network is to have a unified network of
heterogeneous wireless networks. To achieve seamless mobility in such a diverse
environment, vertical hand off is still a challenging problem. In many
situations handover failures and unnecessary handoffs are triggered causing
degradation of services, reduction in throughput and increase the blocking
probability and packet loss. In this paper a new vertical handoff decision
algorithm handover necessity estimation (HNE), is proposed to minimize the
number of handover failure and unnecessary handover in heterogeneous wireless
networks. we have proposed a multi criteria vertical handoff decision algorithm
based on two parts: traveling time estimation and time threshold calculation.
Our proposed methods are compared against two other methods: (a) the fixed RSS
threshold based method, in which handovers between the cellular network and the
WLAN are initiated when the RSS from the WLAN reaches a fixed threshold, and
(b) the hysteresis based method, in which a hysteresis is introduced to prevent
the ping-pong effect. Simulation results show that, this method reduced the
number of handover failures and unnecessary handovers up to 80% and 70%,
respectively
MeshScan: a Fast and Efficient Handoff Scheme for IEEE 802.11 Wireless Mesh Networks
As a next generation network solution, Wireless Mesh Networks (WMN) provides fast Internet access to a large area, which is from university campus to city scale. In order to provide an uninterrupted Internet experience to a mobile client, a process called handoff is required to maintain the network connection from one Mesh Node (MN) to another MN. Ideally, handoff should be completely transparent to mobile users. A critical application like VoIP will require a handoff capability that transfers a call from one mesh node (MN) to another in less than 50 msec. However the current IEEE 802.11 standards do not address the handoff well. Studies have revealed that standard handoff on IEEE 802.11 WLANs incurs a latency of the order of hundreds of milliseconds to several seconds. Moreover, the discovery step in the handoff process accounts for more than 99% of this latency. The study addresses the latency in the discovery step by introducing an efficient and powerful client-side scan technique called MeshScan which replaces the discovery step with a unicast scan that transmits Authentication Request frames to potential MNs. A prototype of MeshScan has been developed based on the MadWifi WLAN driver on Linux operating systems. The feasibility of MeshScan to support fast handoff in WMNs has been demonstrated through extensive computer simulations and experiments under same given conditions. The results from the simulations and experiments show that the latency associated with handoff can be reduced from seconds to a few milliseconds by using the MeshScan technique. Furthermore, it is shown that MeshScan can continue to function effectively even under heavy traffic loads
A survey of network coverage prediction mechanisms in 4G heterogeneous wireless networks.
Seamless connectivity in 4G wireless networks requires the development of intelligent proactive mechanisms for efficiently predicting vertical handovers. Random device mobility patterns further increase the complexity of the handover process. Geographical topologies such as indoor and outdoor environments also exert additional constraints on network coverage and device mobility. The ability of a device to acquire refined knowledge about surrounding network coverage can significantly affect the performance of vertical handover prediction and QoS management mechanisms. This paper presents a comprehensive survey of research work conducted in the area of 4G wireless network coverage prediction for the optimisation of vertical handovers. It discusses different coverage prediction approaches and analyses their ability to accurately predict network coverage
A Genetic Algorithm-based Framework for Soft Handoff Optimization in Wireless Networks
In this paper, a genetic algorithm (GA)-based approach is used to evaluate the probability of successful handoff in heterogeneous wireless networks (HWNs) so as to increase capacity and network performance. The traditional handoff schemes are prone to ping pong and corner effects and developing an optimized handoff scheme for seamless, faster, and less power consuming handoff decision is challenging. The GA scheme can effectively optimize soft handoff decision by selecting the best fit network for the mobile terminal (MT) considering quality of service (QoS) requirements, network parameters and user’s preference in terms of cost of different attachment points for the MT. The robustness and ability to determine global optima for any function using crossover and mutation operations makes GA a promising solution. The developed optimization framework was simulated in Matrix Laboratory (MATLAB) software using MATLAB’s optima tool and results show that an optimal MT attachment point is the one with the highest handoff success probability value which determines direction for successful handoff in HWN environment. The system maintained a 90%  with 4 channels and more while a 75% was obtained even at high traffic intensity
Spectrum handoff management in cognitive hetnet systems overlaid with femtocells
Cognitive radio networks can facilitate seamless mobility to users considering their effective use of the dynamic spectrum access. This is performed by proactive/reactive adaptation of transmission operations in response to the wireless environment changes. One of these operations includes handoff between various wireless domains. The handoff here is not just a registration with a new base station, but it is also a negotiation to get access to the available channels locally in coexistence with the primary users.
This dynamic adaptation between channels, known as spectrum handoff (SH), significantly impacts the time of handoff reconnection, which raises many questions about the functioning of the cognitive radio solution in the next generation of network
systems. Therefore, it is necessary to develop a new method for roaming mobile users, particularly networks that employ small cells such as femtocells in order to reduce the unnecessary channel adaptations. This paper proposes a new entity, namely,
channel assigning agent for managing SH, operator database, and channel access authentication. The goal of this mechanism is to retain the same channel used by a mobile user whenever possible to improve network performance by reducing the unnecessary SHs. The modeling and efficiency of the proposed scheme are validated through simulation results. The proposed solution improves the accessibility of resources and stability ofmobile radio connections that benefits mobile users as well as operators
- …