Decentralized fault-tolerant control of inland navigation networks: a challenge

Inland waterways are large-scale networks used principally for navigation. Even if the transport planning is an important issue, the water resource management is a crucial point. Indeed, navigation is not possible when there is too little or too much water inside the waterways. Hence, the water resource management of waterways has to be particularly efficient in a context of climate change and increase of water demand. This management has to be done by considering different time and space scales and still requires the development of new methodologies and tools in the topics of the Control and Informatics communities. This work addresses the problem of waterways management in terms of modeling, control, diagnosis and fault-tolerant control by focusing in the inland waterways of the north of France. A review of proposed tools and the ongoing research topics are provided in this paper.Peer ReviewedPostprint (published version

FUNNet:a novel biologically-inspired routing algorithm based on fungi

Future data communication networks show three emerging trends: increasing size of networks, increasing traffic volumes and dynamic network topologies. Efficient network management solutions are required that are scalable, can cope with large, and increasing, traffic volumes and provide decentralised and adaptive routing strategies that cope with the dynamics of the network topology. Routing strategies are an important aspect of network management as they have a significant influence on the overall network performance. This paper introduces the preliminary studies for FUNNet, a new routing algorithm inspired by the kingdom of Fungi. Fungi form robust, resilient and responsive networks and these networks change topology as a consequence of changes in local conditions. Fungi are capable of expanding in size as they self-regulate and optimise the balance between exploration and exploitation which is dependent on the transport of the internal resource, i.e. ‘traffic’, within the network. FUNNet exploits the biological processes that are responsible for simulating fungal networks in a bio-inspired routing protocol. The initial results are positive and suggest that fungal metaphors can improve network management, although further evaluation of more complex scenarios is required

A survey on analytical models for dynamic resource management in wireless body area networks

Compared with typical wireless sensor networks, wireless body area networks (WBANs) have distinct features: on-body communication, a large amount of interference, and dynamic topology changes caused by gestures. Accordingly, the resource management algorithm in the medium access control (MAC) protocol should be dynamic, adaptive, and energy-efficient. Hence, recent studies tend to optimize the available resources by applying several types of analytical models. Although these models have been categorized in terms of their objectives, the major differences between their methodologies have not been emphasized and discussed. In this study, we classify the analytical models applicable to dynamic resource management, and clarify their characteristics and use cases. We present the basic principles, approach classification, comparison, and guidance for dynamic resource management, and investigate state-of-the-art resource management techniques according to the corresponding analytical models. Furthermore, research challenges on dynamic resource management in WBAN are identified to facilitate future research in this area

Resource Management in a Peer to Peer Cloud Network for IoT

Software-Defined Internet of Things (SDIoT) is defined as merging heterogeneous objects in a form of interaction among physical and virtual entities. Large scale of data centers, heterogeneity issues and their interconnections have made the resource management a hard problem specially when there are different actors in cloud system with different needs. Resource management is a vital requirement to achieve robust networks specially with facing continuously increasing amount of heterogeneous resources and devices to the network. The goal of this paper is reviews to address IoT resource management issues in cloud computing services. We discuss the bottlenecks of cloud networks for IoT services such as mobility. We review Fog computing in IoT services to solve some of these issues. It provides a comprehensive literature review of around one hundred studies on resource management in Peer to Peer Cloud Networks and IoT. It is very important to find a robust design to efficiently manage and provision requests and available resources. We also reviewed different search methodologies to help clients find proper resources to answer their needs

Partially-Distributed Resource Allocation in Small-Cell Networks

We propose a four-stage hierarchical resource allocation scheme for the downlink of a large-scale small-cell network in the context of orthogonal frequency-division multiple access (OFDMA). Since interference limits the capabilities of such networks, resource allocation and interference management are crucial. However, obtaining the globally optimum resource allocation is exponentially complex and mathematically intractable. Here, we develop a partially decentralized algorithm to obtain an effective solution. The three major advantages of our work are: 1) as opposed to a fixed resource allocation, we consider load demand at each access point (AP) when allocating spectrum; 2) to prevent overloaded APs, our scheme is dynamic in the sense that as the users move from one AP to the other, so do the allocated resources, if necessary, and such considerations generally result in huge computational complexity, which brings us to the third advantage: 3) we tackle complexity by introducing a hierarchical scheme comprising four phases: user association, load estimation, interference management via graph coloring, and scheduling. We provide mathematical analysis for the first three steps modeling the user and AP locations as Poisson point processes. Finally, we provide results of numerical simulations to illustrate the efficacy of our scheme.Comment: Accepted on May 15, 2014 for publication in the IEEE Transactions on Wireless Communication

Simulating Autonomous Mobile Programs on Networks

Autonomous mobile programs (AMPs) have been proposed for load management in dynamic networks. An AMP is aware of its resource needs and periodically seeks a better location in the network to reduce execution time. AMPs have previously been measured using mobile Java Voyager on local area networks (LANs). We have constructed a simulation model of AMPs and reproduced 4 sets of experiments on homogeneous networks, i.e. networks where all locations have the same processor speed, and 2 sets of experiments on heterogeneous networks with collection of large and small AMPs. The results show that simulated collections of AMPs obtain similar balanced states to those reached in the real experiments, and have only minor differences from real experimental results. The simulation model gives an opportunity to explore the greedy effect that can be observed in the real experiments. This gives us confidence to apply the simulation model for further investigation of AMP behaviour, including behaviours on wide area networks