User Mobility for Opportunistic Ad-Hoc Networking
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As mobile devices become increasingly pervasive and commonly equipped with short-range radio capabilities, we observe that it might be possible to build a network based only on pair-wise contact of users. By using user mobility as a network transport mechanism, devices can intelligently route latency-insensitive packets using power-efficient short-range radio. Such a network could provide communication capability where no network infrastructure exists, or extend the reach of established infrastructure. To collect user mobility data, we ran two user studies by giving instrumented PDA devices to groups of students to carry for several weeks. We evaluate our work by providing empirical data that suggests that it is possible to make intelligent routing decisions based on only pair-wise contact, without previous knowledge of the mobility model or location information.Keywords:
Mobility model
Delay-tolerant networking
A wireless ad hoc network is a decentralized type of wireless network. It is a type of temporary computer-to-computer connection. It is a spontaneous network which includes mobile ad-hoc networks (MANET), vehicular ad-hoc networks (VANET) and Flying ad-hoc networks (FANET). A MANET is a network that has many free or autonomous nodes often composed of mobile devices that can operate without strict top-down network administration [1]. A VANET is a sub form of MANET. It is a technology that uses vehicles as nodes in a network to create a mobile network. FANET is an ad-hoc network of flying nodes. They can fly independently or can be operated distantly. This paper discusses the characteristics of these three ad-hoc networks.
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In this article we show that, although pure general-purpose MANET (mobile ad hoc networks) does not yet exist in the real world, the multihop ad hoc networking paradigm was successfully applied in several classes of networks that are penetrating the mass market. We present as examples mesh, opportunistic, vehicular, and sensor networks, where the multi-hop ad hoc paradigm is applied in a pragmatic way to extend the Internet and/or to support well-defined application requirements. We contrast these successful areas of ad hoc networking to the lack of impact of pure general-purpose MANET, demonstrating how a more pragmatic approach is a winner
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MANETs find their use particularly in the field where infrastructured network are not possible without having any centralized administration. Where this feature helps in rapidly deploying and establishing the ad Hoc networks, it makes it highly susceptible for attacks. Mobile ad- hoc networks (MANETs) rely on cooperation of all participating nodes. Any node under attack in ad hoc network exhibits an anomalous behavior called the malicious behavior. In this situation, the entire operation of a network gets disturbed and to preclude such malicious behavior several security solutions have been discovered. In this paper, malicious behavior of a node is defined and to defend such behavior, security solutions are presented which are used in furnishing a secure and reliable communication in ad hoc.
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A mobile ad hoc network (MANET) is a network consisting of a set of wireless mobile nodes that communicate with each other without centralized control or established infrastructure. The mobility model represents the moving behavior of each mobile node (MN) in the MANET that should be realistic. It is a crucial part in the performance evaluation of MANET. Random waypoint mobility model is the only mobility model that has been widely used in the simulation study of MANET despite some unrealistic movement behaviors such as sudden stop and sharp turn. Whilst Gauss-Markov mobility model has been proved that it can solve both of these problems. This paper presents a comparative simulation study of random waypoint and Gauss-Markov mobility models on the performance study of MANET that uses ad-hoc on-demand distance vector (AODV) as the routing protocol. The results show that both mobility models are not different in case each MN is moving at human running speed. Therefore, it is suggested to use random waypoint mobility model because of its less computational overhead comparing to Gauss-Markov mobility model. When the speed of MNs is as high as fast automobiles, the performance result using random waypoint mobility model is significant different from Gauss-Markov mobility model. Therefore, Gauss-Markov mobility model should be used instead. Moreover, different levels of randomness setting have no effect on the accuracy of throughput and end-to-end delay
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선진국은 미래전쟁을 네트워크 및 컴퓨팅을 중심으로 전자정보전이라는 개념하에 전투병의 생존을 보장해 주고, 전투상황에 대한 유용한 정보를 효율적으로 제공해줄 수 있는 군 통신망이 개발되고 있다. 미군은 변화된 미래 전장환경에 효율적으로 대처하는 방법은 발달된 첨단 네트워크 기술에 기반한 정보우위의 달성이라 판단하고, 이를 실현하기 위해 WIN-T(Warfrighter Information Network-Tactical), 중간 체계인 JNN(Joint Network Node), 미래전투체계인 FCS(Future Combat System) 사업 등이 이루어 지고 있다. 우리나라 역시 네트워크 중심전(NCW)에 대비한 전술통신체계인 TICN(Tactical Information Communication Network) 체계를 개발하고 있으며, TICN체계의 주요 장비 중 하나인 TMMR(Tactical Multiband Multirole Radio)은 소프트웨어 기반의 SDR(Software Defined Radio) 무전기로 여러 가지 대역과 모드를 지원한다. 정보의 유통을 위한 전술 데이터망을 구성하는 WNW(Wideband Network Waveform)이 모드를 지원하며, 이의 구현을 위해 MANET(Mobile Ad hoc Network) 기술을 적용하고 있다. MANET이란 기존의 인프라 기반의 네트워크와는 달리 이동성을 가진 노드들 간의 멀티홉을 통해 데이터를 전달하는 개념의 네트워크 기술로 미래 전장 환경에서 C2OTM(Commnad & Control On-The-Move)의 보장을 위한 기술이다. 이동 Ad Hoc 네트워크 기술의 동향을 살펴보고 우리 군이 적용해야 할 방향을 정립할 필요가 있다. 이동 Ad Hoc 네트워크는 고정적이고 계층적인 인프라스트럭처 네트워크와는 비교되는, 이동 노드만으로 구성된 자율적이고 수평적인 네트워크이다. 이동 Ad Hoc 네트워크의 이동 노드는 중재자의 도움 없이 능동적인 연결 설정이 가능하고 네트워크의 참여 또는 이탈이 자유로우며 에너지원의 공급이 제한되어 빈번하게 네트워크의 토폴로지를 변화시킨다. 이러한 망의 특성상 미래 전장 환경에서 전투원의 이동성 보장을 대안으로 주목되는 기술이다. 군 전술이동통신 환경에서 적절한 이동 Ad-hoc 네트워크 기술이 적절히 활용되고 개발되어야 한다. 이 글에서는 이러한 Ad Hoc 네트워크의 특징과 특성을 살펴보고 관련 주요 요소 기술과 과거부터 현재까지 이동 Ad Hoc 네트워크 기술 분야에서 진행 되어온 연구동향을 살펴본다.
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Summary form only given. Tomorrow's mobile ad hoc networks emphasize adaptable and flexible networks that automatically adapt to the user's needs. Such adaptability and flexibility requires mobile networking capabilities significantly beyond what is possible with currently fielded technology. The tutorial discusses the management challenges and outlines solutions to problems that address the unique characteristics of mobile ad hoc networks. The tutorial covers the following topics: introduction to ad hoc networking; ad hoc network configuration; routing in ad hoc networks; management issues for ad hoc networks.
Delay-tolerant networking
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Adaptability
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The remote network that comprises of multipurpose nodes and is infrastructure-less in nature is mobile ad-hoc network (MANET). It powerfully self-composes in subjective and impermanent system topologies. These moveable ad-hoc systems are dishonest and powerless to any interruption in light of thei
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In the analysis of the mobile Ad hoc network simulation,the choice of the node mobility model is very important.It has a direct impact on the correct evaluation of adaptability to dynamic topology in various technical levels.Aiming at the characters of the Tactical mobile Ad hoc network architecture,the characters of the Tactical mobile Ad hoc network node movement was concluded through the comparing and researching of the existing models in mobile Ad hoc network.The Tactical mobile Ad hoc network mobility model was proposed.The simulation shows that the mobility model suits the operational suppose and network simulation of the Tactical mobile Ad hoc networks.
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A Mobile Ad hoc Network (MANET) is a collection of wireless mobile nodes forming a self-configuring network without using any existing infrastructure. Network nodes in a mobile Ad-hoc network move in some motion patterns called mobility models. The mobility models play a very important role in determining the protocol performance in MANET. Thus, it is essential to study and analyze various mobility models and their effect on MANET protocols. If we can recognize the mobility pattern of motion of mobile nodes in our environment we can customize our network protocols to deal with that existing mobility model. In this paper we introduce a new method for classification and pattern recognition of mobility traces into mobility models in mobile Ad-hoc networks. This method uses a simple learning based classification method to recognize the existing mobility model in raw mobility traces which was collected from real motion of mobile Ad-hoc nodes or mobility traces generated by mobility simulators. Our simulation results prove ability of our proposed method to accurately classify given unknown mobility traces into various mobility models.
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