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Low Earth Orbit (LEO) satellite networks are expected to provide a variety of multimedia applications. In order to satisfy different QoS requirements and optimize utilization of network resources, a novel traffic classification routing algorithm (TCR) is proposed. The key technique of TCR is investigating the traffic classification link-cost metrics (TCM) for different traffic classes, which selects...
This paper presents considerations of using wireless sensor networks for monitoring conditions within wind farms, taking into considerations the specific of such applications. In these scenarios, which are intended to cover a lot of ground or even operate in difficult radio environments with strong attenuation, the simple and direct communication between source and destination is not always possible,...
While there has been many studies on the efficient design of p-cycles focusing on optimizing their spare capacity efficiency, few of them consider such a design under the wavelength continuity assumption, i.e., no wavelength converter at any node. Consequently, few authors look at the routing and wavelength assignment in the context of p-cycles, where p-cycles have to be assigned the same wavelength...
In order to make good use of the limited energy, ant colony optimization (ACO) was applied to inter-cluster routing mechanism. An uneven clustering routing algorithm for Wireless Sensor Networks (WSNs) based on ant colony optimization (ACO) was proposed. The algorithm utilized the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster head...
A new generation network is expected to keep operating and providing users and applications with means of communication while being exposed to dynamic and substantial change in the operational environment such as network topology, traffic, and QoS requirement. To establish a highly adaptive and reliable network, we take an approach to be inspired by biological systems, which adapt themselves to dynamically...
For more efficient use of wireless sensor networks, the article using the Bayesian formula to revise the subjective weights base on the fuzzy multiple attribute decision making (MADMR) of WSN routing algorithm which making the subjective weight more theoretical, at the same time using the entropy coefficient model to avoid too much deviation with the objective weights. The simulation results show...
We present our initial work on the design and implementation of an efficient channel assignment and routing architecture for multi-radio and multichannel wireless mesh networks (WMNs). Our proposed scheme is derived from the principle of Ant Colony Optimization (ACO) in which smart ants (agents) perform the routing and channel assignment to stochastically solve a dynamic network optimization problem...
One of the challenges in routing for dense Wireless Sensor Networks (WSN) is balancing the traffic over different paths. Load-balancing methods inspired by physical phenomena such as electrostatics and optics have been studied in recent years, and the proposed methods are promising in energy-critical routing applications. Such methods model information flow in continuous domain in order to benefit...
Admission control plays an important role in providing Quality of Service (QoS) guarantees for wireless mesh networks (WMNs). Multipath routing can improve network performance in reliability and load balancing. However, when the multipath routing are adopted in 802.11-based WMNs, the transmission with bandwidth assurance is facing rigorous challenges. In this paper, a novel joint design of multipath...
We address the optimal sink scheduling problem in wireless sensor networks (WSNs). The problem is inherently difficult since sink scheduling and data routing are tightly coupled. Previous approaches either have questionable performance due to no joint considerations, or are based on relaxed constraints. Our aim is to fill in this blank in the research. First, by discretizing continuous time, we develop...
In this paper, we deal with a scheduling algorithm to fulfil a qualified end-to-end video service in terms of fairness and energy efficiency over multi-hop wireless sensor networks. For this goal, we explore to optimize the routing and power allocation via cross-layer optimization by utilizing a game-theoretic approach. In order to reduce computational complexity, we also propose a distributed optimization...
We consider the network with two kinds of traffic: inelastic and elastic traffic. The inelastic traffic requires fixed throughput, high priority while the elastic traffic has controllable rate and low priority. Giving the fixed rate of inelastic traffic, how to inject the elastic traffic into the network to achieve the maximum utility of elastic traffic is solved in this paper. The Lagrangian Duality...
Topology optimization of P2P overlays has become an increasingly important issue in recent years. P2P systems today have an increased number of legal applications, but they still fail to meet two important requirements crucial for many such applications and for Internet providers: making efficient use of Wide-Area network resources and providing a fast response to queries by reducing routing stretch...
Optical network design problems fall in the broad category of network optimization problems. We give a short introduction on network optimization and general algorithmic techniques that can be used to solve complex and difficult network design problems. We apply these techniques to address the static Routing and Wavelength Assignment problem that is related to planning phase of a WDM optical network...
The following topics are dealt with: detection and tracking; routing; IP-track; SPOTS track; data communications; localization; programming and optimization.
When shortest path routing is employed in large scale multi-hop wireless networks, nodes located near the center of the network have to perform disproportionate amount of relaying for others. To solve the problem, various divergent routing schemes are used which route the data on center-avoiding divergent routing paths. Though they achieve better load balancing, overall relaying is increased significantly...
We study the benefits and trade-off of using scheduled lightpaths for traffic adaption. We propose a network planning model, which allows lightpaths to slide within its desired timing window with no penalty on the optimization objective, and to slide beyond its desired timing window with a decreasing tolerance level. Our model quantitatively measures the timing satisfaction or violation. We apply...
In this paper, we formulate coverage requirements of the sensor network as a minimum-cost connectivity guaranteed point k-coverage problem. An improved ant colony algorithm (EasiDesign) is proposed to achieve the approximate solution to this optimization problem. We made modifications in the convergence strategy and the ant state transition rule of the general ant colony optimization. Considering...
In this work, we study the problems of finding the path of maximum survivability between two end nodes. Multiple network devices and connections may fail simultaneously due to either deliberate attacks or components failures. The problem is NP-hard and we propose a novel algorithm to find the optimal paths with semi-polynomial running time and prove its correctness.
In this paper, we present and evaluate a cross-layer protocol that integrates opportunistic routing into a CSMA wireless mesh network. We develop a MAC model and protocol with enhanced spatial reuse that enables spatial efficient anycast transmissions with more realistic assumptions about the carrier sensing capabilities. Using an optimization framework, we derive a cross-layer algorithm that solves...
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