Iqu

Jardosh, Amit P.; Mittal, Kimaya; Ramachandran, Krishna N.; Belding, Elizabeth; Almeroth, Kevin C.

doi:10.1145/1161089.1161108

Cited by 45 publications

(5 citation statements)

References 16 publications

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“…If a mobile node, which Majority of the existing models for ad hoc networks do not moves according to this model, reaches a simulation provide realistic movement scenarios. But this mobility boundary, it "bounces" off the simulation border with an model, Obstacle Mobility Model [2], introduces the obstacles angle determined by the incoming direction. The mobile node to provide the real scenario on simulation.…”

Section: * Mobility Modelingmentioning

confidence: 99%

“…The attraction matrix dictates the variation in the attraction weight of a particular type of zone. Attraction ATK(tr, Zr) ATK(ti,zd + DiffATK(tr,Zr) (2) matrix shows the attraction weight of a particular zone at a specific time during the entire simulation period. Attraction where K 1,2,...,n represents different types of zones.…”

Section: * Mobility Modelingmentioning

confidence: 99%

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mentioning

confidence: 99%

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Veridical Mobility Model for Ad Hoc Network

Murugappan

Selvi

2006

2006 International Symposium on Ad Hoc and Ubiquitous Computing

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Several mobility models [2] [6] [8] have been proposed and the survey [1] on the mobility models for mobile ad-hoc A mobile ad-hoc network is formed by a group of mobile networks illustrates the different models and their weaknesses hosts, each installed with a wireless network interface, in resembling the realistic scenario. All the well-known without the aid of infrastructure. The performance evaluation mobility models such as Random WayPoint Mobility Model, ofseveralprotocols in ad-hoc networks is carried out under a Random Walk Model, Random Direction Model and the simulation environment. The simulation shouldprovide us the recent models like Obstacle Mobility Model [2] vary widely ideal environment under which the behavior ofnodes and the in their movement characteristics. Though the [2] model protocols can be tested. The mobility models therefore play a considers the placement of obstacles, all these models choose vital role in describing the topology and the movement of the the destination, next point to move in the network area, of a nodes. Recent survey on the mobility models for the ad-hoc node in a random fashion. None of them uses the factors like networks illustrates the different models and their weaknesses time and attraction weight, which decides the destination of in resembling the realistic scenario. Though the recent each mobile node in the real world. models consider the placement of obstacles, still there are This paper, VEridical MObility Model, will be introducing some weaknesses. This paper provides a realistic mobility the time factor and the attraction points for deciding the model, called VeMo, by dividing the network area into destination. The simulation area was divided into several different types ofzones. The movement of the node considers zones depending upon the environment. Then the obstacles of the time factor and the attraction weight. The results shows varying sizes, replicating the buildings, were placed in all the that the performance of the standard routing protocol like zones. The traveling path for each node from one point to the DSR degrades while it is being used with this mobility model. other was constructed using the Voronoi diagram. The destination of each node is selected by considering the

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Section: * Mobility Modelingmentioning

confidence: 99%

Section: * Mobility Modelingmentioning

confidence: 99%

“…

…”

mentioning

confidence: 99%

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Veridical Mobility Model for Ad Hoc Network

Murugappan

Selvi

2006

2006 International Symposium on Ad Hoc and Ubiquitous Computing

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“…Thus, traditional models based on the network layer traffic traces are not suitable to describe behaviors of frame traffic in the air. Some researches have been carried out to investigate the behaviors of frame traffic in the IEEE 802.11 wireless networks [8][9] [10]. Reference [8] analyzes the impacts of link-layer properties such as frame transmission, frame size, and data rate, on network congestion.…”

Section: Introductionmentioning

confidence: 99%

“…Some researches have been carried out to investigate the behaviors of frame traffic in the IEEE 802.11 wireless networks [8][9] [10]. Reference [8] analyzes the impacts of link-layer properties such as frame transmission, frame size, and data rate, on network congestion. They propose to improve the performance of link layer in congestion state by sending smaller frames, and/or using higher data rates with a fewer number of frames sent.…”

Section: Introductionmentioning

confidence: 99%

A Self-Similarity Frame Traffic Model Based on the Frame Components in 802.11 Networks

Xiang

Zhang

et al. 2009

2009 International Conference on Computational Science and Engineering

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In this study, we analyze the impact of different types of frame traffic on the self-similar behavior of the aggregated frame traffic, collected from the IETF 2005 conference. Our measurement results show that the different types of frame traffic have various impacts on the self-similarity of the aggregated frame traffic in different session periods, and these impacts are simultaneously related with the mean frame size and proportion of the specified frame traffic. Furthermore, a model of self-similarity impact is proposed to describe the self-similarity characteristic relationship between the aggregated frame traffic and different types of frame traffic. This in-depth knowledge of 802.11 wireless network frame traffic can effectively improve the efficiency and performance of network planning, resource management and MAC-layer algorithms.

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End‐to‐end mobility support in content centric networks

Kim

et al. 2014

Int J Communication

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Content-centric networking (CCN) has been recently proposed as an alternative to traditional IP-based networking. In CCN, content is accessed by content name instead of a host identifier (locational identifier). This new type of access methodology rapidly and efficiently disseminates content in combination with the in-network caching mechanism. For practical use of CCN, many network properties studied in IP-based networking are being revisited, and new types of CCN architecture components are being designed. Although mobility is an essential aspect of the future networking system, it has not been sufficiently studied. We therefore address fundamental mobility issues, such as seamless handover, optimal access point selection, network mobility, and handling of persistent interests. In addition, for each issue, we propose practical solutions that efficiently align to a CCN environment. To ensure seamless handoff, we propose various handoff schemes and compare their performance in terms of handoff latency using packet-level simulation. Because our proposed schemes are consistent with the characteristics and rules of CCN, we believe that they can easily be integrated as a part of CCN. content copies are served for later access to the content until they are evicted from the cache either by a cache replacement policy or lifetime expiration.This new type of content access enhances mobility features as well [2]. In IP networks, content is delivered over a pre-established connection, which is identified by the IP addresses of the sender and the receiver. Therefore, whenever a mobile user moves to a different subnet, the connection is broken by the change in IP address. Although schemes to preserve the connection during handoff have been proposed, they incur too much overhead to be widely deployed [5]. In CCN, however, because an end-to-end connection does not exist, a mobile user can achieve a seamless handoff by simply continuing to access the content in a new location. Nevertheless, there are several issues to be further studied for more efficient network utilization.The first issue is handling the persistent interest during handoff. Basically, CCN routers erase the PIT entry after relaying the matched response. However, the authors in [6] insist that sending an interest for each content chunk is inefficient in a streaming service; instead, they suggest persistent interest. Rather than sending per chunk requests, the content recipient sends a persistent interest once at the beginning of the service. Intermediate routers maintain that persistent interest during the content lifetime and even after they successfully relay a single response. The persistent interest becomes a problem if a mobile user of a streaming service changes location. Because CCN routers cannot compensate for the mobility of the content recipient, the routers continue forwarding responses until the persistent interest expires, which results in wasted link bandwidth. The second issue concerns the selection of the most optimal access point (AP). Nowadays,...

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Iqu

Cited by 45 publications

References 16 publications

Veridical Mobility Model for Ad Hoc Network

Veridical Mobility Model for Ad Hoc Network

A Self-Similarity Frame Traffic Model Based on the Frame Components in 802.11 Networks

End‐to‐end mobility support in content centric networks

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