Algorithms for self-healing networks

Many modern networks are reconfigurable, in the sense that the topology of the network can be changed by the nodes in the network. For example, peer-to-peer, wireless and ad-hoc networks are reconfigurable. More generally, many social networks, such as a company\u27s organizational chart; infrastructure networks, such as an airline\u27s transportation network; and biological networks, such as the human brain, are also reconfigurable. Modern reconfigurable networks have a complexity unprecedented in the history of engineering, resembling more a dynamic and evolving living animal rather than a structure of steel designed from a blueprint. Unfortunately, our mathematical and algorithmic tools have not yet developed enough to handle this complexity and fully exploit the flexibility of these networks. We believe that it is no longer possible to build networks that are scalable and never have node failures. Instead, these networks should be able to admit small, and, maybe, periodic failures and still recover like skin heals from a cut. This process, where the network can recover itself by maintaining key invariants in response to attack by a powerful adversary is what we call self-healing. Here, we present several fast and provably good distributed algorithms for self-healing in reconfigurable dynamic networks. Each of these algorithms have different properties, a different set of gaurantees and limitations. We also discuss future directions and theoretical questions we would like to answer

Self-healing networks come to the Netherlands

There is increased pressure on distribution network operators (DNOs) to maintain the integrity of the network. While huge investments are already being made in replacing aging infrastructure to minimize the probability of equipment failure, the chances of failure cannot be completely eliminated. Therefore, when network faults occur, it is necessary for DNOs to minimize the impact by reducing the outage time and number of customers without supply. To minimize the fault outage time, the Dutch DNO Stedin has started a project to introduce automation to its distribution network. The first phase of the project consists of installing intelligent fault passage indicators, while the next two phases use more advanced techniques such as remote-controlled ring main units (RMUs) and a completely self-healing distribution feeder

Impact of Mobility models on Mobile Sensor Networks

Wireless sensor networks (WSN) is an emerging technology, finds variety of applications in military, movement tracking, industries and medical fields. WSN are self configurable, self healing networks. In mobile sensor network, (MSN) nodes are free to move with wireless links without infrastructure. In this paper, we have studied the impact of various mobility models with AODV and DSDV routing protocols and have compared the throughput of the models. Parameters such as loss ratio, hop counts, velocity of the nodes are analyzed by varying the node density using various mobility models and routing protocols

A Zigbee Technology for Lighting Control Application

Zigbee is wireless communication technology and IEEE 802.15.4 standards for data communication. There are zigbee standards provides network security and application sup port services operating on top of the IEEE 802.15.4 medium access control and physical layer wireless standards and it employs a group of technologies to enable scalable, self - organizations,self - healing networks that can mange various data traffic pattern s. The Zigbee is low - cost, low - power consumption, wireless mesh networking standards and It is designed around low power consumption allowing batteries to essentially last forever. Zigbee is use for monitoring and control applications. This paper presents a zigbee device types, its traffic varities, stucture and use in home automation and the lighting control application

Prosumer communities and relationships in smart grids: A literature review, evolution and future directions

Smart grids are robust, self-healing networks that allow bidirectional propagation of energy and information within the utility grid. This introduces a new type of energy user who consumes, produces, stores and shares energy with other grid users. Such a user is called a "prosumer." Prosumers' participation in the smart grid is critical for the sustainability and long-term efficiency of the energy sharing process. Thus, prosumer management has attracted increasing attention among researchers in recent years. This paper systematically examines the literature on prosumer community based smart grid by reviewing relevant literature published from 2009 to 2018 in reputed energy and technology journals. We specifically focus on two dimensions namely prosumer community groups and prosumer relationships. Based on the evaluated literature, we present eight propositions and thoroughly describe several future research directions

Simulation of undular bores evolution with damping

Propagation of undular bores with damping is considered in the framework of perturbed extended Korteweg-de Vries (peKdV) equation. Two types of damping terms for the peKdV equation, namely linear and Chezy frictional terms, which describe the turbulent boundary layers in the fluid flow are considered. Solving the peKdV equation numerically using the method of lines shows that under the influence of damping, the lead-ing solitary wave of the undular bores will split from the nonlinear wavetrain, propagates and behaves like an isolated solitary wave. The amplitude of the leading wave will remain the same for some times before it starts to decay again at a larger time. In general the amplitude of the leading wave and the mean level across the undular bore decreases due to the effect of damping