On a moving direction pattern based MAP selection model for HMIPv6 networks

Baek, Jinsuk; Fischer, Johannes; Chen, Hsiao‐Hwa; Jo, Minho

doi:10.1016/j.comcom.2010.03.030

Cited by 5 publications

(4 citation statements)

References 18 publications

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“…Besides, a tradeoff emerges when selecting anchoring nodes in the single‐anchoring approach: selecting a farther anchor may worsen the route sub‐optimality between MN and CN, while selecting a nearer anchor may introduce high signaling overhead because of frequent switching between different anchors when the MN is roaming around, as is shown by existing studies on Hierarchical Mobile IPv6 (HMIPv6) . This tradeoff is also demonstrated by the evaluations in this paper.…”

Section: Introductionmentioning

confidence: 60%

“…Chen et al propose the concept of abstract MAP together with an enhanced scheme to estimate the MN's speed for appropriate MAP selection. Besides using the MN's speed, Baek et al further consider the movement direction of MNs and Wang et al take into account the MN's moving scope in MAP selection. Pack et al use the ratio of the session arrival rate to the mobility rate (SMR) as a metric in selecting anchors.…”

Section: Related Workmentioning

confidence: 99%

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A multi‐anchoring approach in mobile IP networks

Wang

Jiang

2016

Wireless Communications

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Many recent mobility solutions, including derivatives of the well-known Mobile IP as well as emerging protocols employed by future Internet architectures, propose to realize mobility management by distributing anchoring nodes (Home Agents or other indirection agents) over the Internet. One of their main goals is to address triangle routing by optimizing routes between mobile nodes and correspondent nodes. Thus, a key component of such proposals is the algorithm to select proper mobility anchoring nodes for mobile nodes. However, most current solutions adopt a single-anchoring approach, which means each mobile node attaches to a sole mobility anchor at one time. In this paper, "we argue that the singleanchoring approach has drawbacks when facing various mobility scenarios. Then, we offer a novel multi-anchoring approach that allows each mobile node to select an independent mobility anchor for each correspondent node. We show that in most cases our proposal gains more performance benefits with an acceptable additional cost by evaluation based on real network topologies. For the cases that lead to potential high cost, we also provide a lightweight version of our solution which aims to preserve most performance benefits while keeping a lower cost. At last, we demonstrate how our proposal can be integrated into current Mobile IP networks.

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Section: Introductionmentioning

confidence: 60%

Section: Related Workmentioning

confidence: 99%

A multi‐anchoring approach in mobile IP networks

Wang

Jiang

2016

Wireless Communications

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“…The gateway selection can either be flow based or network based [64]- [67]. The hierarchical MIPv6 is discussed in [30], [31] to address mobility issues. A new MIPv6 node named as mobility anchor point can be situated at any level in the foreign network.…”

Section: Methodsmentioning

confidence: 99%

Investigation of Home Agent Load Balancing, Failure Detection and Recovery in IPv6 Network-based Mobility

Khatri¹,

Mathi

2017

International Journal on Advanced Science, Engineering and Information Technology

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Mobile IPv6 came as an extensively acknowledged technology to support mobility in networks. Home agents are in charge for the registration of mobile devices and act as a key entity for the tunneling of data packets to the corresponding registered mobile nodes. A single home agent has administrative control over the critical tasks including home agent registration management, maintenance of cache data and tunneling of data packets to the mobile nodes that are away from their home networks and so on. However in this approach, home agent act as the sole failure point, which gave rise to the placement of multiple home agents to overcome this issue. The load balancing mechanism for multiple home agent deployment faces the problem of improper load sharing, signaling overhead and synchronization issues. Moreover, failure detection and recovery mechanism are inefficient in nature. It experiences a significant delay in tunneling of data packets and suffers from disconnection making it incompetent for the use in real time applications. Most of the existing methods for load sharing and failure detection use the concept of exchange of router advertisement message named as "heart beat messages" at a constant rate. The reduction in the interval of router advertisement can result in signaling overhead and synchronization issues. Hence, this paper investigates and analyzes the various load balancing mechanisms of mobile IPv6. In addition, it presents the comparative study of the failure detection and recovery mechanism of existing methods. Finally, it concludes that future work can be extended in the domain of distributed active load sharing mechanism and proactive failure detection.

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“…Wireless sensor networks are widely used for data acquisition since wireless is low cost and more flexible than wired solutions [2]. Extensive research has been performed on efficiency [3][4] and mobility [5][6][7]. Since it is impossible for the system designer to envision all possible contexts beforehand, decision making control systems largely rely on data mining and machine learning techniques such as an artificial neural network (ANN), a support vector machine (SVM), a selforganizing map (SOM), a hidden Markov model (HMM), and frequent pattern mining (FPM) [8].…”

Section: Introductionmentioning

confidence: 99%

Sequential Behavior Pattern Discovery with Frequent Episode Mining and Wireless Sensor Network

Lü

et al. 2017

IEEE Commun. Mag.

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By recognizing patterns in occupants' daily activities, building systems are able to optimize and personalize services. Established technologies are available for data collection and pattern mining, but they all share the drawback that the methodology used for data collection tends to be ill suited for pattern recognition. For this research, we developed a bespoke wireless sensor network (WSN) and combined it with a compact data format for frequent episode mining (FEM) to overcome this obstacle. The proposed framework has been evaluated with both synthetic data from a smart home simulator and with real data from a self-organizing WSN in a student's home. We are able to demonstrate that the framework is capable of discovering sequential patterns in heterogeneous sensor data. With corresponding scenarios, patterns in daily activities can be deduced. The framework is self-contained, scalable and energy efficient and is thus applicable in multiple building system settings.

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On a moving direction pattern based MAP selection model for HMIPv6 networks

Cited by 5 publications

References 18 publications

A multi‐anchoring approach in mobile IP networks

A multi‐anchoring approach in mobile IP networks

Investigation of Home Agent Load Balancing, Failure Detection and Recovery in IPv6 Network-based Mobility

Sequential Behavior Pattern Discovery with Frequent Episode Mining and Wireless Sensor Network

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