In this paper we consider the problem of state estimation for linear discrete-time non-Gaussian systems with intermittent observations. Intermittent observations result from packet dropouts when data travel along unreliable communication channels, as in the case of wireless sensor networks, or networked control systems. We assume that the receiver does not know the sequence of dropouts, which is common in many circumstances, e.g., wireless sensor networks. We derive the quadratic estimate of the state by means of a recursive algorithm. The solution is obtained by applying the Kalman filter to a suitably augmented system, which is fully observable. The augmented system is constructed as the aggregate of the actual system, and the observable part of a system having as state the second Kronecker power of the original state, namely the quadratic system. To extract the observable part of the quadratic system we exploit the knowledge of the rank of the corresponding observability matrix. This approach guarantees the internal stability of the estimation filter. Simulation results highlight the effectiveness of the proposed approach.

background

Data Networks, IP and the Internet

Quadratic filtering of non-Gaussian systems with intermittent observations

The Internet consists of distributed and interconnected autonomous systems (ASs). The flexibility afforded by the Internet architecture ensures that timely changes to the network topology can occur without centralized control. The Border Gateway Protocol (BGP) is an Internet protocol that routes the Internet traffic and exchanges the information between AS. However, BGP version 4 (BGP-4) currently suffers from a limitation called “high convergence delay” while doing routing updates, which is a very common limitation, damaging the performance of contemporary IP networks. Software-defined networking (SDN) was conceived at the beginning of the 21st century, and over the intervening years, it has gained traction. This technology has significantly enhanced traffic control, management, and monitoring, particularly in data centres and enterprise networks. Challenges have been found including how to provide administrative control, security, management, and monitoring at domain boundaries while introducing the SDN paradigm. In multidomain SDN, BGP-4 is used to exchange the information and route the traffic between domains or diverse AS. In this review, an investigation is provided on using the SDN paradigm to enhance multidomain traffic management and control and to optimize BGP operation. A detailed insight is provided into the penetration of the SDN paradigm into modern networking architectures and how it may help in facilitating future research to improve BGP-4.

/pdf/multidomain-sdn-based-gateways-and-border-gateway-protocol-1jph40ub.pdf

Multidomain SDN-Based Gateways and Border Gateway Protocol

Wireless or mobile Internet protocol (mobile IP) is a protocol to deal with mobility for current and the next generation Internet in wireless network. The mobile IP protocol specifies the enhancement of the mobile IP protocol that allows transparent routing of Internet protocol (IP) datagrams to mobile nodes in a computer internetworking. However, working with the wireless communication networks could lead to significant poor network performance. This paper presents a study of the quality of service (QoS) performance over the mobile IP in wireless network. This mobile IP models are developed using the OPNET modeler 10.0, a hierarchical software programming and it is utilised to analyze the performance of two metrics for QoS; throughput and packet data dropped during forwarding and receiving data packets operation. The results achieved are based on the comparison of two scenarios of mobile IP model in a wireless network.

Quality of service for mobile IP services in wireless network

Broadcast contribution is point-point media transfer from recording sites to local editing studios, between studio facilities and to distribution centers. The contribution phase has strict Quality ...

Reliable Broadcast Contribution over the Public Internet

In this paper we consider the problem of state estimation for linear discrete-time Gaussian systems with intermittent observations. Intermittent observations result from packet dropouts when data travel along unreliable communication channels, as in the case of wireless sensor networks, or networked control systems. We assume that the receiver does not know the sequence of packet dropouts, which is a common situation, e.g., in wireless sensor networks or in networks that cannot rely on protocols that provide information on packet loss. In this paper we propose a detection-estimation approach to the problem of state estimation. The estimator consists of two stages: the first is a nonlinear optimal detector, which decides if a packet dropout has occurred, and the second is a time-varying Kalman filter, which is fed with both the observations and the decisions from the first stage. The overall estimator has finite memory and the tradeoff between performance and computational complexity can be easily controlled. Simulation results highlight the effectiveness of the proposed approach, which outperforms the linear optimal filter of Nahi. Finally, the method is amenable to generalization.

Data Networks, IP and the Internet

Citations

Quadratic filtering of non-Gaussian systems with intermittent observations

Multidomain SDN-Based Gateways and Border Gateway Protocol

Quality of service for mobile IP services in wireless network

Reliable Broadcast Contribution over the Public Internet

A detection-estimation approach to filtering for Gaussian systems with intermittent observations

Related Papers (5)

Section 2: The Internet and IP Networks

5 – IP—The Internet Protocol

IP(Internet protocol)

IP in Networks

Method and device for internet protocol (IP) network data interaction