Mobile Network Services Research Articles

Neighbour peer selection scheme based on effective capacity for mobile Peer-to-Peer streaming

For Peer-to-Peer (P2P) streaming services in mobile networks, the selection of appropriate neighbour peers from candidate peers with demanding data is an important approach to improve Quality-of-Service (QoS). This paper proposes a novel Effective Capacity Peer Selection (ECPS) scheme based on effective capacity. In the ECPS scheme, the neighbour peer selection problem was modeled using the Multiple Attribute Decision Making (MADM) theory, which considered multiple factors of candidate peers, including Signal to Interference and Noise Ratio (SINR), residency time, power level, security, moving speed, and effective capacity. This model could increase the suitability of ECPS for wireless mobile environments. Then, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) was used to solve the MADM problem and identify the preferred neighbour peers. Simulation results show that the ECPS scheme can improve the network throughput, reduce packet delay by about 82%, and almost double the packet delivery ratio of the mobile P2P streaming service.

Predictive and Fault-Tolerant Location Service in Mobile Ad Hoc Networks

Using location information to help routing is often proposed as a means to achieve scalability in large mobile ad hoc networks (MANETs). One of the biggest challenge in geographic routing protocols is the design of efficient distributed location services that can locate the positions of mobile nodes. The accurate positioning of mobile nodes in MANETs is important to location service scheme since they are related to efficiency of routing protocols. We propose a grid-based predictive Location Service (GPLS) scheme and a hole-tolerant grid-based predictive Location Service (GPLS-H) scheme. In proposed location service scheme GPLS and GPLS-H, the network is partitioned into grids and grids are divided into groups by using a HASH function, which guarantees the uniform distribution of location servers of a node in the network. The main contribution of this paper is that the proposed location service scheme GPLS and GPLS-H provide accurate location query capability by means of location prediction of mobile nodes and GPLS-H can tolerate the "holes" in grid networks. The simulation results show that the location service scheme GPLS and GPLS-H have better performance than CRLS and SLURP in query success ratio, query delay and location availability.

Analysis and optimization of parameters of circuit emulation service in mobile networks

The article shows how the quantity of encapsulated TDM frames affects performance of a frame aligner in the case of CESoETH implementation in Mobile Backhaul network. Influence on the frame aligner performance is considered in terms of alignment loss probability and frame alignment recovery time. The article recommends the optimum value of encapsulated TDM frames considering minimization of alignment loss probability and frame alignment recovery time. The article proposes a model that considers to kinds of risks to the frame aligner performance. The proposed model considers risk caused by bit errors in frame alignment sequence and risk caused by frame losses. Both risks are considered in order to estimate how the quantity of encapsulated TDM frames affects performance of a frame aligner in the case of structure-agnostic CESoETH

Coordinate Live Streaming and Storage Sharing for Social Media Content Distribution

The recently emerged user-generated contents (UGC) services, social networking services (SNS), as well as the pervasive wireless mobile network services have formed social media which has drastically changed the content distribution landscape. Today such UGC applications as YouTube allow any user to be a content provider, generating enormous amount of video contents that are quickly and extensively propagated on the Internet through such SNSes as Facebook and Twitter. Unfortunately, the existing UGC sites are facing critical server bottlenecks and the surges created by the social networking users would make the situation even worse. To better understand the challenges and opportunities therein, we investigate users' social behavior and personal preference of online video sharing from both real-trace measurement study on a popular social networking website and a user questionnaire survey. Our data analysis reveals an interesting coexistence of live streaming and storage sharing, and that the users are generally more interested in watching their friend's videos. It further suggests that even though the traffic is significant, most users are willing to share their resources to assist others, implying user collaboration is a rational choice in this context. In this paper, we present Coordinated Live Streaming and Storage Sharing (COOLS), a system for efficient peer-to-peer posting of user-generated videos. Through a novel ID code design that embeds nodes' locations in an overlay, COOLS leverages stable storage users and yet inherently prioritizes living streaming flows. We also present the improvement of the basic overlay design. The evaluation results show that, as compared to other state-of-the-art solutions, COOLS successfully takes advantage of the coexistence of live streaming and storage sharing, providing better scalability, robustness, and streaming quality.

Evaluation of mobile services and substantial adoption factors with Analytic Hierarchy Process (AHP)

Emergence of new technological innovations in networks, platforms, and applications has enabled service providers to gain back their massive investment in their infrastructures. However, due to lagging adoption, many service innovations have failed to generate profit. The adoption of different mobile service categories depends on several factors. The current explorative study aims to use Analytic Hierarchy Process (AHP) to identify the most relevant mobile services for consumers and the factors driving the adoption. The results of the AHP analyses indicate that functionality of services is of utmost important for the majority of respondents. The results reveal that basic mobile communication services are the most preferred ones, although several services within different categories are available. The results have important implications for mobile network operators, service and application providers on how to develop and implement specific mobile services. The current study also offers new insights for researchers by showing that AHP is applicable to analyze consumers' preferences.

Adaptive Learning Approach of Contextual Mobile User Preferences

针对移动网络对个性化移动网络服务系统的性能提出了更高的要求,但现有研究难以自适应地修改上下文移动用户偏好以为移动用户提供实时、准确的个性化移动网络服务的问题,提出了一种上下文移动用户偏好自适应学习方法,在保证精确度的基础上缩短了学习的响应时间.首先,通过分析移动用户行为日志来判断移动用户行为是否受上下文影响,并在此基础上判断移动用户行为是否发生变化.然后,根据判断结果对上下文移动用户偏好进行修正.在对发生变化的上下文移动用户偏好进行学习时,将上下文引入到最小二乘支持向量机中,进一步提出了基于上下文最小二乘支持向量机(C-LSSVM)的上下文移动用户偏好学习方法.最后,实验结果表明,当综合考虑精确度和响应时间两方面因素时,所提出的方法优于其他学习方法,并且可应用于个性化移动网络服务系统中.;A mobile network has higher demands for the performance of personalized mobile network services,but existing researches have been unable to modify the contextual mobile user preferences adaptively and providereal-time, accurate personalized mobile network services for mobile users. This paper proposes a contextcomputing-based approach to mobile user preferences adaptive learning, which can ensure the accuracy and theresponse time. First, through analyzing the logs of contextual mobile user behaviors, the method judges whethermobile user behaviors are affected by context or not, and detects whether the contextual mobile user behaviorschange. According to these judgments, the contextual mobile user preferences are modified. Secondly, the context isintroduced into the least squares support vector machine (LSSVM), which is employed to learn the changedcontextual mobile user preferences. Further, a learning method of contextual mobile user preferences is proposedwhich is based on context of the least squares support vector machine (C-LSSVM). Finally, the experimental resultsshow that the proposed method is superior to other learning methods when considering both accuracy and responsetime. The proposed method in this paper can be applied in the system of personalized mobile network services.

A density-driven publish subscribe service for mobile ad-hoc networks

This paper studies a density driven virtual topography based publish/subscribe service for mobile ad hoc networks. Two variants of the service are presented and evaluated by extensive simulations; the first is very communication frugal while the latter trades a higher message overhead for faster latency. Both variants are also being compared to two other representative approaches for publish/subscribe in ad hoc networks, a dissemination tree based scheme and an efficient flooding based scheme. It is shown that the density-driven approach outperforms the others in most tested scenarios.

Scalable Transmission Control: SVC-Based Dynamic Resource Allocation for Enhanced Multicast and Broadcast Service

In this letter, a Scalable Transmission Control (STC) scheme is proposed as a new framework of radio resource allocation when Scalable Video Coding (SVC) is used for the Enhanced Multicast & Broadcast Service (E-MBS) in Mobile WiMAX network. We present a marginal utility-based suboptimal solution to the STC problem and demonstrate that the overall system utilities can be significantly improved by the proposed framework for the given system capacity.

Probabilistic Network Construction

Due to the rapid progress of information and communication technologies, networking between individuals and machines has become necessary and crucial. Some phenomenon already exists in the real world, such as epidemics, social networks, ecology food web, metabolic, genetic or protein interaction networks and database maintained by telecom operator can also be observed via scientific approaches based on networking aspect, which may be useful for solving problems or providing killer applications in real world. In this paper we first review some basic concepts of characterizing a network from different aspects by various structural properties. Then we describe several important network models and approaches developed in the past decade. Furthermore, in order to better obtain network structural properties and topology from data in an effective way, we visualized the result of network analysis by open-source software library, JUNG as a tool, and take cognitive radio networks as a target for evaluation of the structural properties. Finally we apply Bayesian method to the data from real mobile service network to estimate the preference of subscribers for achieving precise marketing as an example of probabilistic network construction from data.

Online people tagging: Social (mobile) network(ing) services and work‐based learning

AbstractSocial and mobile technologies offer users unprecedented opportunities for communicating, interacting, sharing, meaning‐making, content and context generation. And, these affordances are in constant flux driven by a powerful interplay between technological innovation and emerging cultural practices. Significantly, also, they are starting to transcend the everyday lifeworlds of users and permeate the workplace and its practices. However, given the emergent nature of this area, the literature on the use of social and mobile technologies in workplace practices is still small. Indeed, social media are increasingly being accessed via mobile devices. Our main focus, therefore, here is on the question of what, if any, potential there is for the use of social media in informal, professional, work‐based learning. The paper provides a critical overview of key issues from the literature on work‐based learning, face‐to‐face and technology‐supported, as well as social (mobile) networking services, with particular attention being paid to people tagging. It then introduces an initial typology of informal workplace learning in order to provide a frame for understanding social (mobile) network(ing) services in work‐based learning. Finally, a case study (taken from the literature) of People Tagging tool use in digital social networks in the European Commission‐funded MATURE project is used to illustrate aspects of our typology.Practitioner Notes What is already known about this topic The importance of social networks and associated technologies in everyday life and commerce. Some conceptualisations of learning through and at work exist, but they tend to be based on the empirical study of professionals and graduate employees. The concept of tagging in relation to digital resources is well established. What this paper adds A consideration of the use of social networks in learning in informal and work‐based context. An exploration of some of the affordances of social media for work‐located learning. A widening of the concept of tagging to the classification of knowledge embodied in users and their social networks. A typology of factors in social network(ing) services and work‐based learning. An analysis of a case study of people tagging in relation to the typology of factors. Implications for practice A conceptualisation of aspects of technology‐enhanced and enabled learning through and at work. An understanding of the potential of social media for work‐located learning. A realisation of some of the potential of the use of social media in informal, professional work‐based learning.

멀티캐스팅을 지원하는 프록시 모바일IPv6 네트워크에서 빠른 도메인간 핸드오버 기법의 분석적 접근법

모바일 네트워크에서 멀티캐스트서비스의 이용량 증가로 MN(이동단말)에게 끊김없이 멀티캐스트 서비스를 전송하는 통신이 중요한 통신 형태가 요구될 것이다. 본 논문에서 IETF에서 표준화가 진행중인 PMIPv6(Proxy Mobile IPv6)에서 MLS(Multicast Listener Support)에 대한 현재의 문제점을 지적하고, 네트워크 기반의 이동성관리 기법인 PMIPv6 네트워크에서 도메인간 고속 멀티캐스트 핸드오버 절차를 제안한다. 제안된 도메인간 고속 멀티캐스트 핸드오버 절차에서는 MN의 컨텍스트를 사용하여 멀티캐스트 관리를 최적화한다. 제안된 고속 멀티캐스트 핸드오버 절차를 기본적인 것과 해석 모델링을 통하여 비교분석하고, 도메인간 핸드오버의 경우에 제안된 도메인간 고속 멀티캐스트 핸드오버 절차가 기본적인 것과 비교하여 서비스 단절 시간과 전체 네트워크 오버해드가 상당히 감소한다는 것을 보여준다. Multicast service will be required to be an important form of communication without interruption to the delivery of multicast service in mobile networks increasing MNs. In this paper, we review current status of PMIPv6(Proxy Mobile IPv6) multicast listener support being standardized in the IETF and point out limitations of the current approach and we proposed a fast multicast handover procedure in inter domain PMIPv6 network of network-based mobility management. The proposed Fast multicast handover procedure in inter domain optimizes multicast management by using the context of the MNs. We evaluate the proposed fast multicast handover procedure compared to the based one through the developed analytical models and confirm that introduced fast multicast handover procedure provides the reduced service interruption time and total network overhead compared to the based one during handovers.

An energy-balanced cooperative MAC protocol based on opportunistic relaying in MANETs

An unreliable wireless communication environment and limited energy resources have a severe impact on the Quality of Service (QoS) of Mobile Ad Hoc Networks (MANETs). To improve network performance, an Energy-balanced Cooperative Media Access Control (EC-MAC) protocol in MANETs is proposed in this paper. It adopts the best partnership selection algorithm based on opportunistic relaying to select the cooperative node with the best channel conditions, highest transmission rate and most balanced energy consumption. The simulation results of EC-MAC, Cooperative MAC (CoopMAC) and IEEE 802.11 Distributed Coordination Function (DCF) protocols show that EC-MAC outperforms the other two protocols in terms of the packet delivery ratio, network throughput and network lifetime under two distinct channel noise levels, especially under the bad channel condition. Meanwhile, the EC-MAC protocol does not increase the average end-to-end delay compared with IEEE 802.11 DCF.

A Resource Discovery with Data Dissemination over Unstructured Mobile P2P Networks

Recently, along with the innovative development of wireless communication techniques and mobile devices, mobile P2P services in mobile wireless networks have gained a lot of attention. In this paper, we propose a resource discovery scheme with data dissemination over mobile P2P networks. In the proposed scheme, each peer manages a local information table, a resource index table, and a routing table in a local database to enhance the accuracy and cost of resource discovery. The local information table stores the status of a mobile peer, and the resource index table stores the resource information of the neighbor peers via the ranking function. The routing table is used to communicate with the neighbor peers. We use a timestamp message to determine whether or not the resource index table will be changed before the resource information is exchanged. Our ranking function considers the interest and mobility of the mobile peer and prioritizes the resource information transmitted from the neighbor peers. It is shown via various experiments that the proposed scheme outperforms the existing scheme.

A Semi-Preemptive Computational Service System with Limited Resources and Dynamic Resource Ranking

In this paper, we integrate a grid system and a wireless network to present a convenient computational service system, called the Semi-Preemptive Computational Service system (SePCS for short), which provides users with a wireless access environment and through which a user can share his/her resources with others. In the SePCS, each node is dynamically given a score based on its CPU level, available memory size, current length of waiting queue, CPU utilization and bandwidth. With the scores, resource nodes are classified into three levels. User requests based on their time constraints are also classified into three types. Resources of higher levels are allocated to more tightly constrained requests so as to increase the total performance of the system. To achieve this, a resource broker with the Semi-Preemptive Algorithm (SPA) is also proposed. When the resource broker cannot find suitable resources for the requests of higher type, it preempts the resource that is now executing a lower type request so that the request of higher type can be executed immediately. The SePCS can be applied to a Vehicular Ad Hoc Network (VANET), users of which can then exploit the convenient mobile network services and the wireless distributed computing. As a result, the performance of the system is higher than that of the tested schemes.

User Profile Based Proportional Share Scheduling And Mac Protocol For Manets

Quality of Service(QoS) in Mobile Ad Hoc Networks (MANETs) though a challenge, becomes a necessity because of its applications in critical scenarios. Providing QoS for users belonging to various profiles and playing different roles, becomes the need of the hour. In this paper, we propose proportional share scheduling and MAC protocol (PS2-MAC) model. It classifies users based on their profile as High Profiled users (HP), Medium Profiled users (MP) and Low profiled users (LP) and assigns proportional weights. Service Differentiation for these three service classes is achieved through, rationed dequeuing algorithm, variable inter frame space, proportionate prioritized backoff timers and enhanced RTS/CTS control packets. Differentiated services is simulated in ns2 and results show that 9.5% control overhead is reduced in our proposed scheme than the existing scheme and results also justify that, differentiated services have been achieved for the different profiles of users with proportionate shares and thereby reducing starvation.

Analysis of Managed and Over-the-Top Streaming Services in Mobile Networks

Article Analysis of Managed and Over-the-Top Streaming Services in Mobile Networks was published on August 1, 2012 in the journal PIK - Praxis der Informationsverarbeitung und Kommunikation (volume 35, issue 3).

Efficient network coding-based multicast retransmission mechanism for mobile communication networks

This study proposes a network Coding-based RETransmission (CoRET) mechanism for supporting multicast service in mobile communication networks. CoRET introduces deterministic network coding to improve retransmission efficiency and retransmission reliability. To support CoRET, a couple of efficient packet selection algorithms are proposed, one is called `Most`Least` selection and the other is called Hamming distance-based (`Hamming-D`) selection, to select packets when performing network coding for retransmission. Most`Least selects the packets with the most retransmission requests and the least retransmission requests, whereas Hamming-D selects the packets with the largest Hamming distance. Simulation results show that with Most`Least or Hamming-D CoRET outperforms an existing retransmission scheme, `Random Pick`, in terms of both retransmission efficiency and retransmission reliability. To achieve the best performance of the Hamming-D algorithm, a mathematical model is further developed to analyse the impact of the number of original packets encoded into a packet for retransmission on the retransmission performance to find an optimal encoding number that can achieve the best performance.

Object Segment Grouping for Wireless Mobile Streaming Media Services

Abstract Increment of mobile client's information request in wireless mobile networks requires a new method to manage and serve the streaming media object. This paper proposes a new object segment grouping method for enhancing the performance of streaming media services in wireless mobile networks. The proposed method performs the similarity metric for the partitioned object segments, and it process the disjunction, conjunction, and filtering for these metrics. This paper was to decided the partitioned group of object segments for these operation metrics, and it decided the performance of streaming media services. The simulation result showed that the proposed method has better performance in throughput, average startup latency, and cache hit ratio. Key Words : Mobile Client, Streaming, Object Segment, Grouping, Similarity * 전북대학교 전자공학부 교수논문접수 : 2012년 4월 25일, 1차 수정을 거쳐, 심사완료 : 2012년 5월 9일 1. Introduction In the wireless mobile network environment, the streaming media service is performed by connecting various mobile devices through the base station. In a wireless mobile network, mobile devices access the wireless network throughput base stations, which are inter-connected by access routers to perform WLANs. For the streaming media service in this environment, managing huge amounts of multimedia data is an important issue [1][2][3]. The reason is because the above environment can utilize efficiently the limited resources and channel bandwidth of wireless networks. Above all, managing and caching popular media object segments at locations close the mobile clients is an effective strategy to improve the quality of streaming media services. Especially, managing streaming media objects at the proxy cache is an attractive approach to reduce network traffic and improve quality of streaming media services, due to the high network bandwidth demand and continuous playback constraints of streaming media applications. To realize this,

Screening of Students’ Intentions to Adopt Mobile - Learning

Mobile technology is a growing field with emerging new discoveries. The introduction of third generation mobile network services and the convergence of mobile and traditional internet services will make the mobile communication a key enabler for achieving competitive advantages in developing countries, including opportunities for mobile learning (M-learning). This study explores the possibility of applying M-learning in Egypt by looking at the factors that affect the students’ intentions to adopt M-learning. Data was collected by a survey of 239 business students of the English program in the faculty of commerce at Mansoura University. The technology adoption model is studied with two more independent variables, namely, pressure to act and resource availability. Results showed that there are four factors that can be used in modelling students’ intentions to adopt M-learning. These factors are attitude towards M-learning, perceived usefulness, availability of resources and perceived ease of use.

The Fault Detection Strategies Used in Mobile Communication Network

With the rapid development of information technology, the use of mobile communication tools to infiltrate every aspect of daily life and people is increasingly demanding for the quality of mobile communication network service. As the user base is increasing, mobile communications networks is also increasing pressure. In the traditional artificial methods about communication network fault detection, network managers need to do a lot of work and the process is tedious but not satisfied with the quality test. It is an effective means of fault management using software to manage the network. The mobile network fault detection system base on data mining not only reduces the workload of network managers and the test results more accurate, but also can reduce network management costs. In this paper, we introduce the fault detection strategies for the mobile communication network. By using the data mining algorithm, we can find the network default more easily.