Per-Application Mobility Management with Cross-Layer Based Performance Enhancement

2008 ◽  
Author(s):  
Moonjeong Chang ◽  
Meejeong Lee ◽  
Hyunjeong Lee
Keyword(s):  
Mobility Management ◽  
Performance Enhancement ◽  
Cross Layer

scholarly journals Cross Layer Optimization and Simulation of Smart Grid Home Area Network

2018 ◽  
Vol 2018 ◽  
pp. 1-14
Author(s):  
Lipi K. Chhaya ◽  
Paawan Sharma ◽  
Adesh Kumar ◽  
Govind Bhagwatikar
Keyword(s):  
Smart Grid ◽  
Network Performance ◽  
Performance Enhancement ◽  
Hierarchical Architecture ◽  
Buffer Size ◽  
Cross Layer ◽  
Area Network ◽  
Frame Aggregation ◽  
Cross Layer Optimization ◽  
Layered Approach

An electrical “Grid” is a network that carries electricity from power plants to customer premises. Smart Grid is an assimilation of electrical and communication infrastructure. Smart Grid is characterized by bidirectional flow of electricity and information. Smart Grid is a complex network with hierarchical architecture. Realization of complete Smart Grid architecture necessitates diverse set of communication standards and protocols. Communication network protocols are engineered and established on the basis of layered approach. Each layer is designed to produce an explicit functionality in association with other layers. Layered approach can be modified with cross layer approach for performance enhancement. Complex and heterogeneous architecture of Smart Grid demands a deviation from primitive approach and reworking of an innovative approach. This paper describes a joint or cross layer optimization of Smart Grid home/building area network based on IEEE 802.11 standard using RIVERBED OPNET network design and simulation tool. The network performance can be improved by selecting various parameters pertaining to different layers. Simulation results are obtained for various parameters such as WLAN throughput, delay, media access delay, and retransmission attempts. The graphical results show that various parameters have divergent effects on network performance. For example, frame aggregation decreases overall delay but the network throughput is also reduced. To prevail over this effect, frame aggregation is used in combination with RTS and fragmentation mechanisms. The results show that this combination notably improves network performance. Higher value of buffer size considerably increases throughput but the delay is also greater and thus the choice of optimum value of buffer size is inevitable for network performance optimization. Parameter optimization significantly enhances the performance of a designed network. This paper is expected to serve as a comprehensive analysis and performance enhancement of communication standard suitable for Smart Grid HAN applications.

scholarly journals PMIPv6 Assistive Cross-Layer Design to reduce handover latency in VANET Mobility for Next Generation Wireless Networks

2015 ◽  
Vol 7 (3) ◽  
pp. 1 ◽  
Author(s):  
Haider Noori AL-Hashimi ◽  
Waleed Noori Hussein
Keyword(s):  
Wireless Networks ◽  
Mobility Management ◽  
Heterogeneous Wireless Networks ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Next Generation ◽  
Handover Delay ◽  
Next Generation Wireless Networks ◽  
Management Protocol ◽  
Management Schemes

VANET Networks are one of the main next generation wireless networks which are envisaged to be an integration of homogeneous and heterogeneous wireless networks. The inter-networking of these wireless networks with the Internet will provide ubiquitous access to roaming network users. However, a seamless handover mechanism with negligible handover delay is required to maintain active connections during roaming across these networks. Several solutions, mainly involving host-based localized mobility management schemes, have been widely proposed to reduce handover delay among homogeneous and heterogeneous wireless networks. However, the handover delay remains high and unacceptable for delay-sensitive services such as real-time and multimedia services. Moreover, these services will be very common in next generation wireless networks. Unfortunately, these widely proposed host-based localized mobility management schemes involve the vehicle in mobility-related signalling hence effectively increasing the handover delay. Furthermore, these schemes do not properly address the advanced handover scenarios envisaged in future wireless networks. This paper, therefore, proposes a VANET mobility management framework utilizing cross-layer design, the IEEE 802.21 future standard, and the recently emerged network-based localized mobility management protocol, Proxy Mobile IPv6, to further reduce handover delay.

scholarly journals HWN* Mobility Management Considering QoS, Optimisation and Cross Layer Issues

2007 ◽  
Vol 3 (4) ◽  
pp. 225 ◽  
Author(s):  
Chong Shen
Keyword(s):  
Mobility Management ◽  
Ad Hoc ◽  
Routing Algorithm ◽  
Cross Layer ◽  
Cross Layer Design ◽  
Relay Nodes ◽  
High Profile ◽  
Low Profile ◽  
Avoidance Control

In this paper, we address mobility management for 4th generation heterogeneous networks from a quality of service (QoS), optimisation and cross layer design perspective. Users are classified as high profile, normal profile and low profile according to their differentiated service requirements. Congestion avoidance control and adaptive handover mechanisms are implemented for efficient cooperation within the mobile heterogeneous network environment consisting of a TDMA network, ad hoc network and relay nodes. A previous proposed routing algorithm is also revised to include mobility management.

scholarly journals Survey and Evaluation of Advanced Mobility Management Schemes in the Host Identity Layer

2014 ◽  
Vol 3 (1) ◽  
pp. 34-59 ◽  
Author(s):  
László Bokor ◽  
Zoltán Faigl ◽  
Sándor Imre
Keyword(s):  
Mobility Management ◽  
Mobile Internet ◽  
Cross Layer ◽  
Network Mobility ◽  
Simulation Evaluation ◽  
Management Scheme ◽  
Host Identity ◽  
Management Schemes ◽  
Basic Ideas ◽  
Survey And Evaluation

This paper is committed to give an overview of the Host Identity Protocol (HIP), to introduce the basic ideas and the main paradigms behind it, and to make an exhaustive survey of mobility management schemes in the Host Identity Layer. The authors' goal is to show how HIP emerges from the list of potential alternatives with its wild range of possible usability, complex feature set and power to create a novel framework for future Mobile Internet architectures. In order to achieve this, the authors also perform an extensive simulation evaluation of four selected mobility solutions in the Host Identity Layer: the standard HIP mobility/multihoming (RFC5206), a micromobility solution (µHIP), a network mobility management scheme (HIP-NEMO) and a proactive, cross-layer optimized, distributed proposal designed for flat architectures (UFA-HIP).

scholarly journals Cross Layer- Performance Enhancement Architecture (CL-PEA) for MANET

2013 ◽  
Vol 1 (2013) ◽  
pp. 54-60
Keyword(s):  
Performance Enhancement ◽  
Cross Layer

Internet is based on TCP/IP but TCP/IP architecture is not sufficient to cope with the dynamics of MANET. Number of architectures are already available in literature but cross layer architecture is most popular one. To enhance performance of protocols a Cross Layer- Performance Enhancement Architecture (CL-PEA) is proposed. In this architecture one hardware layer is added and all layers can exchange their parameters. CL-PEA enhances the protocol performances by taking decisions on the basis of information available on layers

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