89 research outputs found
Resilient internetwork routing over heterogeneous mobile military networks
Mobile networks in the military tactical domain, include a range of radio networks with very diverse characteristics and which may be employed differently from operation to operation. When interconnecting networks with dissimilar characteristics (e.g. capacity, range, mobility) a difficult trade-off is to fully utilize the diverse network characteristics while minimizing the cost. To support the ever increasing requirements for future operations it is necessary to provide tools to quickly alter the rule-set during an ongoing operation, due to a change in operation and/or to support different needs. Our contribution is a routing protocol which targets these challenges. We propose an architecture to connect networks with different characteristics. One key point is that low capacity links/networks segments can be included in the heterogeneous network, these segments are protected from overload by controlling where and when signaling/data traffic is sent. The protocol supports traffic policing, including resource reservation. The other key point is the ability to quickly alter the network policy (rules-set) including QoS support during an operation or from operation to operation.author postprin
End-to-End Resilience Mechanisms for Network Transport Protocols
The universal reliance on and hence the need for resilience in network communications has been well established. Current transport protocols are designed to provide fixed mechanisms for error remediation (if any), using techniques such as ARQ, and offer little or no adaptability to underlying network conditions, or to different sets of application requirements. The ubiquitous TCP transport protocol makes too many assumptions about underlying layers to provide resilient end-to-end service in all network scenarios, especially those which include significant heterogeneity. Additionally the properties of reliability, performability, availability, dependability, and survivability are not explicitly addressed in the design, so there is no support for resilience. This dissertation presents considerations which must be taken in designing new resilience mechanisms for future transport protocols to meet service requirements in the face of various attacks and challenges. The primary mechanisms addressed include diverse end-to-end paths, and multi-mode operation for changing network conditions
Cognitive Communications and Networking Technology Infusion Study Report
As the envisioned next-generation SCaN Network transitions into an end-to-end system of systems with new enabling capabilities, it is anticipated that the introduction of machine learning, artificial intelligence, and other cognitive strategies into the network infrastructure will result in increased mission science return, improved resource efficiencies, and increased autonomy and reliability. This enhanced set of cognitive capabilities will be implemented via a space cloud concept to achieve a service-oriented architecture with distributed cognition, de-centralized routing, and shared, on-orbit data processing. The enabling cognitive communications and networking capabilities that may facilitate the desired network enhancements are identified in this document, and the associated enablers of these capabilities, such as technologies and standards, are described in detail
TOWER: Topology Optimization for netWork Enhanced Resilience
7th International Conference on Data Communication Networking - DCNET 2016 , 26/07/2016-28/07/2016, Lisboa, PortugalNowadays society is more and more dependent on critical infrastructures. Critical network infrastructures (CNI) are communication networks whose disruption can create a severe impact on other systems including critical infrastructures. In this work, we propose TOWER, a framework for the provision of adequate strategies to optimize service provision and system resilience in CNIs. The goal of TOWER is being able to compute new network topologies for CNIs under the event of malicious attacks. For doing this, TOWER takes into account a risk analysis of the CNI, the results from a cyber-physical IDS and a multilayer model
of the network, for taking into account all the existing dependences. TOWER analyses the network structure in order to determine the best strategy for obtaining a network topology, taking into account the existing dependences and the potential conflicting interests when not all requirements can be met. Finally, we present some lines for further development of TOWER.European Commissio
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Traffic engineering multi-layer optimization for wireless mesh network transmission a campus network routing protocol transmission performance inhancement
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel UniversityThe wireless mesh network is a potential network for the future due to its excellent inherent characteristic for dynamic self-healing, self-configuration and self-organization. It also has the advantage of easy interoperability networking and the ability to form multi-linked ad-hoc networks. It has a decentralized topology, is cheap and highly scalable. Furthermore, its ease in deployment and easy maintenance are other inherent networking qualities. These aforementioned qualities of the wireless mesh network bring advantages to transmission capability of heterogeneous networks. However, transmissions in wireless mesh network create comparative performance based challenges such as congestion, load-balancing, scalability over increasing networks and coverage capacity. Consequently, these challenges and problems in the routing and switching of packets in the wireless mesh network routing protocols led to a proposal on the resolution of these failures with a combination algorithm and a management based security for the network and its transmitted packets. There are equally contentious services like reliability of the network and quality of service for real-time multimedia traffic flows with other challenges such as path computation and selection in the wireless mesh network.
This thesis is therefore a cumulative proposal to the resolution of the outlined challenges and open research areas posed by using wireless mesh network routing protocol. It advances the resolution of these challenges in the mesh environment using a hybrid optimization – traffic engineering, to increase the effectiveness and the reliability of the network. It also proffers a cumulative resolution of the diverse contributions on wireless mesh network routing protocol and transmission. Adaptation and optimization are carried out on the wireless mesh network designed network using traffic engineering mechanism and technique. The research examines the patterns of mesh packet transmission and evaluates the challenges and failures in the mesh network packet transmission. It develops a solution based algorithm for resolutions and proposes the traffic engineering based solution.. These resultant performances and analysis are usually tested and compared over wireless mesh IEEE802.11n or other older proposed documented solution.
This thesis used a carefully designed campus mesh network to show a comparative evaluation of an optimal performance of the mesh nodes and routers over a normal IEE802.11n based wireless domain network to show differentiation by optimization using the created algorithms. Furthermore, the indexes of performance being the metric are used to measure the utility and the reliability, including capacity and throughput at the destination during traffic engineered transmission. In addition, the security of these transmitted data and packets are optimized under a traffic engineered technique. Finally, this thesis offers an understanding to the security contribution using traffic engineering resolution to create a management algorithm for processing and computation of the wireless mesh networks security needs. The results of this thesis confirmed, completed and extended the existing predictions with real measurement
Models and Protocols for Resource Optimization in Wireless Mesh Networks
Wireless mesh networks are built on a mix of fixed and mobile nodes interconnected via wireless links to form a multihop ad hoc network. An emerging application area for wireless mesh networks is their evolution into a converged infrastructure used to share and extend, to mobile users, the wireless Internet connectivity of sparsely deployed fixed lines with heterogeneous capacity, ranging from ISP-owned broadband links to subscriber owned low-speed connections. In this thesis we address different key research issues for this networking scenario. First, we propose an analytical predictive tool, developing a queuing network model capable of predicting the network capacity and we use it in a load aware routing protocol in order to provide, to the end users, a quality of service based on the throughput. We then extend the queuing network model and introduce a multi-class queuing network model to predict analytically the average end-to-end packet delay of the traffic flows among the mobile end users and the Internet. The analytical models are validated against simulation. Second, we propose an address auto-configuration solution to extend the coverage of a wireless mesh network by interconnecting it to a mobile ad hoc network in a transparent way for the infrastructure network (i.e., the legacy Internet interconnected to the wireless mesh network). Third, we implement two real testbed prototypes of the proposed solutions as a proof-of-concept, both for the load aware routing protocol and the auto-configuration protocol. Finally we discuss the issues related to the adoption of ad hoc networking technologies to address the fragility of our communication infrastructure and to build the next generation of dependable, secure and rapidly deployable communications infrastructures
Deep Space Network information system architecture study
The purpose of this article is to describe an architecture for the Deep Space Network (DSN) information system in the years 2000-2010 and to provide guidelines for its evolution during the 1990s. The study scope is defined to be from the front-end areas at the antennas to the end users (spacecraft teams, principal investigators, archival storage systems, and non-NASA partners). The architectural vision provides guidance for major DSN implementation efforts during the next decade. A strong motivation for the study is an expected dramatic improvement in information-systems technologies, such as the following: computer processing, automation technology (including knowledge-based systems), networking and data transport, software and hardware engineering, and human-interface technology. The proposed Ground Information System has the following major features: unified architecture from the front-end area to the end user; open-systems standards to achieve interoperability; DSN production of level 0 data; delivery of level 0 data from the Deep Space Communications Complex, if desired; dedicated telemetry processors for each receiver; security against unauthorized access and errors; and highly automated monitor and control
Implementation of Middleware for Internet of Things in Asset Tracking Applications: In-lining Approach
ThesisInternet of Things (IoT) is a concept that involves giving objects a digital identity and limited
artificial intelligence, which helps the objects to be interactive, process data, make decisions,
communicate and react to events virtually with minimum human intervention. IoT is intensified
by advancements in hardware and software engineering and promises to close the gap that exists
between the physical and digital worlds. IoT is paving ways to address complex phenomena,
through designing and implementation of intelligent systems that can monitor phenomena,
perform real-time data interpretation, react to events, and swiftly communicate observations. The
primary goal of IoT is ubiquitous computing using wireless sensors and communication
protocols such as Bluetooth, Wireless Fidelity (Wi-Fi), ZigBee and General Packet Radio
Service (GPRS).
Insecurity, of assets and lives, is a problem around the world. One application area of IoT is
tracking and monitoring; it could therefore be used to solve asset insecurity. A preliminary
investigation revealed that security systems in place at Central University of Technology, Free
State (CUT) are disjointed; they do not instantaneously and intelligently conscientize security
personnel about security breaches using real time messages. As a result, many assets have been
stolen, particularly laptops. The main objective of this research was to prove that a real-life application built over a generic
IoT architecture that innovatively and intelligently integrates: (1) wireless sensors; (2) radio
frequency identification (RFID) tags and readers; (3) fingerprint readers; and (4) mobile phones,
can be used to dispel laptop theft. To achieve this, the researcher developed a system, using the
heterogeneous devices mentioned above and a middleware that harnessed their unique
capabilities to bring out the full potential of IoT in intelligently curbing laptop theft.
The resulting system has the ability to: (1) monitor the presence of a laptop using RFID reader
that pro-actively interrogates a passive tag attached to the laptop; (2) detect unauthorized
removal of a laptop under monitoring; (3) instantly communicate security violations via cell
phones; and (4) use Windows location sensors to track the position of a laptop using Googlemaps.
The system also manages administrative tasks such as laptop registration, assignment and withdrawal which used to be handled manually. Experiments conducted using the resulting
system prototype proved the hypothesis outlined for this research
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