The metacube interconnection network was designed for large parallel computers in 2002. Compared with a hypercube of the same size, a metacube has a degree significantly lower while retaining a similar diameter. For e...
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We propose an Energy Balanced Self-adaptive Intelligent Water Drops (EBSIWD) routing algorithm. IWD algorithm has shortcomings in dealing with energy, end-to-end delivery delay and routing loops. Our algorithm makes u...
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NoC-Based Dynamic Reconfigurable Systems (DRSs) implemented over FPGA devices change their configuration at the run time by re-positioning or replacing the existing processing modules into the network. Several Dynamic...
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Wireless Sensor Networks have become an active research topic in the last years. The routing problem is a very important part in this kind of networks that need to be considered in order to maximize the network life t...
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ISBN:
(纸本)9783642167720
Wireless Sensor Networks have become an active research topic in the last years. The routing problem is a very important part in this kind of networks that need to be considered in order to maximize the network life time. As the size of the network increases, routing becomes more complex due the amount of sensor nodes in the network. Sensor nodes in Wireless Sensor Networks are very constrained in memory capabilities, processing power and batteries. Ant Colony Optimization based routing algorithms have been proposed to solve the routing problem trying to deal with these constrains. We present a comparison of two Ant Colony-based routing algorithms, taking into account current amounts of energy consumption under different scenarios and reporting the usual metrics for routing in wireless sensor networks.
To improve the performance of the AODV routing algorithm in wireless mobile ad hoc networks, a cross-layer AODV routing algorithm based on two-hop neighborhood information (CLAODV) was proposed in this paper. The CLAO...
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Home health care (HHC) services are of vital importance for today's society. They allow old and frail people a self-determined living in their familiar environment. Due to the current demographic and social develo...
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Home health care (HHC) services are of vital importance for today's society. They allow old and frail people a self-determined living in their familiar environment. Due to the current demographic and social developments further increases in demand for HHC must be expected. Additionally, people with limited mobility or relying on medical supply usually need consistent care. Thus, HHC service providers will be faced with two challenges: an increased organizational effort due to the rising demand and the need for an anticipatory risk management. Previous research combining optimization and risk management in the field of HHC limits itself to rural regions, where nurses are solely using cars. The presented work specifically aims to deal with the peculiarities of urban regions. Together with the Austrian Red Cross (ARC), a vulnerability analysis has been conducted in order to identify the critical success factors and processes of HHC as well as potential threats. To support the daily scheduling, a Tabu Search (TS) based metaheuristic has been implemented. As nurses can choose between different transport modes (public transport, car, bike, and walking), time-dependent multimodal transport has been considered. The TS has been tested with real-world data from the ARC in Vienna to support both, daily business and scheduling in times of disasters. Significant reductions of travel and waiting times can be obtained, such that more time remains for serving the clients. Through sensitivity analysis the effects of disasters (esp. blackout, pandemics, and heat waves) are visualized and the operational limits during such events are shown. (C) 2015, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved.
Underwater Acoustic Sensor Networks (UW-ASNs) consist of devices with sensing, processing, and communication capabilities that are deployed underwater to perform collaborative monitoring tasks to support a broad range...
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Underwater Acoustic Sensor Networks (UW-ASNs) consist of devices with sensing, processing, and communication capabilities that are deployed underwater to perform collaborative monitoring tasks to support a broad range of applications. The enabling communication technology for distances over one hundred meters is wireless acoustic networking because of the high attenuation and scattering affecting radio and optical waves, respectively. In this work, the problem of data gathering is investigated by considering the interactions between the routing functions and the characteristics of the underwater acoustic channel. Two distributed geographical routing algorithms for delay-insensitive and delay-sensitive applications are proposed and shown through simulation experiments to meet the application requirements.
Whenever new routing algorithms are proposed, corresponding performance gains are reported. Are these gains the same for different interconnect scenarios? Do the proposed techniques always outperform the previous ones...
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An efficient and low-delay routing algorithm based on multiple ferries (ERMF) is proposed to address the problems that appear when the multiple message ferries gateway-based algorithm (MMFGW) is applied to opportunist...
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Ant colony algorithm is a classical routing algorithm. And it are used in a variety of application because it is economic and self-organized. However, the routing algorithm will expend huge amounts of energy at the be...
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Ant colony algorithm is a classical routing algorithm. And it are used in a variety of application because it is economic and self-organized. However, the routing algorithm will expend huge amounts of energy at the beginning. In the paper, based on the idea of Dijkstra algorithm, the improved ant colony algorithm was proposed to balance the energy consumption of networks. Through simulation and comparison with basic ant colony algorithms, it is obvious that improved algorithm can effectively balance energy consumption and extend the lifetime of WSNs.
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