Simultaneous handover scheme for IEEE 802.11 WLANs with IEEE 802.21 triggers

Machan, P.; Woźniak, Józef

doi:10.1007/s11235-009-9192-7

Cited by 7 publications

(2 citation statements)

References 7 publications

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“…The link-measurement reports contain information on network infrastructure, RSS, frame error rates, and SMD's time synchronization with MIIS servers (IEEE 802.21 Working Group & others, 2009). The link-layer triggers a handover based on these reports (Machań & Woźniak, 2010;Singh & Singh, 2013).…”

Section: Mih Servicesmentioning

confidence: 99%

An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network

Kumar

Tyagi

2021

Journal of Information and Telecommunication

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The bandwidth-intensive applications on Smart-Mobile-Devices (SMDs) are increasing with SMD's colossal growth. The overlapped cellular and non-cellular networks, in hot-spot-places, and SMDs capabilities are significant reasons for this growth. SMD's interfaces-RAT (Radio-Access-Technology) can have complementary link characteristics. The end-users can avail always-best-connectivity (ABC) on their SMDs with complementary RAT characteristics. This paper proposes an Integrated-multi-RAT-utilization (Im-Ru) framework for multipathcomputing support to realize ABC for the end-users. The Im-Ru framework has two approaches. The First is a hybrid-RATdiscovery model based on SMD's interfaces, current-location, and identification using ANDSF and MIIS servers. The second is the user's preference-based RAT-selection using weighted-RATparameters. We observe that the Im-Ru framework for multipathcomputing is useful in future 5G-NR networks. We analyzed the Im-Ru's performance related to average-throughput improvement over the existing approaches for SMD's different speeds and observed a significant improvement. The experimental results show that Im-Ru is more reliable by realizing lower packet-loss and delay than existing work.

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Section: Mih Servicesmentioning

confidence: 99%

An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network

Kumar

Tyagi

2021

Journal of Information and Telecommunication

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“…The IEEE 802.21 protocol is an exception from this rule, being located between the link and network layers and providing some support for IP mobility [44]. The network layer protocols are divided into addressing (or mapping)-based and host-based (with host-based routing).…”

Section: Ip Mobility Protocols-comparisonmentioning

confidence: 99%

Mobility management solutions for current IP and future networks

Woźniak

2015

Telecommun Syst

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Enormous progress in the design of portable electronic devices allowed them to reach a utility level comparable to desktop computers, while still retaining their mobility advantage. At the same time new multimedia services and applications are available for IP users. Unfortunately, the performance of base IP protocol is not satisfactory in mobile environments, due to lack of handover support and higher layer mobility management mechanisms. In this paper, we outline the most important current methods of handling mobility in IP networks that are expected to play an important role in the future (covering the following ISO-OSI layers: 2+, 3, 3+, 4 and 7 of mobility solutions), as well as describe the newly proposed methods.

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A smart handover prediction system based on curve fitting model for Fast Mobile IPv6 in wireless networks

Sadiq

Bakar

Ghafoor

et al. 2012

Int J Communication

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Seamless handover process is essential in order to provide efficient communication between mobile nodes in wireless local area networks. Despite the importance of a signal strength prediction model to provide seamless handovers, it is not embedded in standard mobility management protocols. In this article, we propose a smart handover prediction system based on curve fitting model to perform the handover (CHP) algorithm. The received signal strength indicator parameter, from scanning phase, is considered as an input to the CHP in order to provide a prediction technique for a mobile node to estimate the received signal strength value for the access points in the neighborhood and to select the best candidate access point from them in an intelligent way. We implemented the proposed approach and compared it with standard protocols and linear regression-based handover prediction approach. Simulation results in complex wireless environments show that our CHP approach performs the best by predicting the received signal strength value with up to 800 ms in advance from real obtained value via scanning phase. Moreover, our CHP approach is the best in terms of layer 2 and overall handover latency, in comparison with standard protocols and linear regression approach, respectively.A. S. SADIQ ET AL. model, is responsible for detecting the potential handover and obtaining the decision to perform the handover procedure. The second layer, the network layer or layer 3 (L3) in the Open Systems Interconnection model, becomes involved in the handover process just when the MN enters the network domain of a different subnet [2]. The MN, to be able to maintain the network connectivity, requires to execute the L3 signaling in order to obtain a new Internet Protocol (IP) address. An interruption occurs when MN is going to change its place across different access routers (ARs) in the range of movement. This is known as the time required to change the wireless network link and then to return back to routability. In other words, it is identified as a handover latency mentioned in [3], which consists of several levels of delay distributed over handover process levels.The handover can be defined as the time spent changing from one point of attachment AR to another. During this time, the MN is not able to send or receive data. Thus, the connection may be interrupted, and packets may be lost or delayed because of intermediate buffers [3,4]. The Internet Engineering Task Force (IETF) developed Mobile IP (MIP) to tackle the handover latency issue by utilizing efficient mobility management. IETF has designed two versions of MIPs: Mobile IPv4[5] and Mobile IPv6 (MIPv6) [6]. MIPv6 has recently been used as a mobility protocol supported with IPv6 addressing, and its process scheme is illustrated in Figure 1. We can observe the signaling scheme of MIPv6 protocol during MN roaming process among previous AR (PAR), new AR (NAR), home agent (HA), and corresponded node (CN) (a node that communicates with an MN that is out of its own network). This mobility ...

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Simultaneous handover scheme for IEEE 802.11 WLANs with IEEE 802.21 triggers

Cited by 7 publications

References 7 publications

An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network

An integrated-multi-RAT framework for multipath-computing in heterogeneous-wireless network

Mobility management solutions for current IP and future networks

A smart handover prediction system based on curve fitting model for Fast Mobile IPv6 in wireless networks

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