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In the convergence network which consists of cognitive self-organization network and mobile cellular network (MCN), the emergency service requires the network with higher reliability and quality of service (QoS). However, the time-variant factors such as spectrum, channel, network topology, node energy, as well as the gateway performance make the stochastic optimization problem of emergency service...
In this paper, we introduce an architectural concept for the adaption of SOA-technology (in particular Web services) in order to enable operational use in the tactical domain (typically featuring low-bandwidth communication links with high delays and frequent disruptions). For this purpose, an Enterprise Service Bus specially tailored for the tactical domain (a “tactical ESB”) is used as a technical...
CGEA (Convergence Gradients Expectation Ant algorithm) is proposed in this paper, which can get the optimal path quickly by precomputing the Convergence grads expectation of improved ant algorithm. QoS metrics of link can be measured by expectation function and the optimal path can be got efficiently by comparing the convergence grads.
The wide deployment of Wireless Sensor Networks along with the proliferation of applications that use WSN-generated data has led to the design of WSN architectures and systems that support multiple applications over the same WSN infrastructure. Different Quality of Service requirements imposed by different applications impose the use of appropriate routing metrics to decide the data path. Although...
The most important problem in multicast routing is Steiner tree problem, which has been proved to be NP-complete. This article proposed an algorithm based on Artificial Bee Colony Optimization (ABC). In this algorithm, we optimize the Steiner tree directly. It is not the same as traditional methods that find paths and integrate them to generate a Steiner tree. This algorithm use the characteristic...
To solve anycast routing problem with multiple QoS constraints, a improved anycast routing algorithm based on simplified particle swarm optimization algorithm and diversity strategy is presented. Firstly, the algorithm simplified the complexity of standard PSO algorithm and improved the convergence velocity extraordinarily by dynamically changing the inertia weight. Then, a mutation operator and diversity...
Several routing protocols have been proposed to take advantage of the dynamic metrics on links such as link delays, queueing lengths, and available link bandwidths.Wardrop routing, QOS routing are few such example routing protocols. Even when these protocols can be shown to offer convergence properties without oscillations, the protocols have not been widely adopted for a number of reasons. The expected...
Multicast transmission corresponds to send data to several destinations, often involving requirements of Quality of Service (QoS) and Traffic Engineering (TE). These multiple requirements lead to the need of optimizing a set of conflicting objectives subject to constraints. Starting from the well-known evolutionary algorithm SPEA2, two formulations for the Routing problem were considered, minimizing...
With the objective to better understand how the global Internet should achieve an availability in the order of five nines, i.e. be available 0.99999 of the time, active measurements were performed between Norway and China through the Global Research Network. End-to-end downtime statistics was continuously collected during a 3-month period up to mid February 2010. In addition to periodically sending...
In this work, a multiobjective genetic algorithm-based model for multicast flow routing with QoS and Traffic Engineering requirements is discussed. Two heuristics for subtree reconnection are investigated, applicable in crossover and mutation operators. Experiments with three multiobjective evolutionary algorithms (NSGA-II, SPEA and SPEA2) and the proposed heuristics are carried on, whose results...
Multicast transmission corresponds to send data to several destinations often involving requirements of Quality of Service (QoS) and Traffic Engineering (TE). This work investigates new evolutionary models to tackle Multicast Flow Routing in a Pareto multiobjective perspective. Two multiobjective evolutionary algorithms (SPEA and SPEA2) were applied as the underlying search of such models. QoS and...
Wireless sensor networks (WSNs) consist of small nodes with sensing, computation, and wireless communication capabilities. Many routing, power management, and data dissemination protocols have been specifically designed for WSNs where energy awareness is an essential design issue. The focus, however, has been given to the routing protocols which might differ depending on the application and network...
The energy constraint bottleneck in the wireless sensor networks (WSN) exist objectively. To reduce energy consumption and ensure the Quality of Service (QoS) in data transmission, a method of solving the QoS multicast routing in WSN by quantum particle swarm optimization algorithm (QPSO). The algorithm is based on PSO, quantum-bit, principle of superposition and quantum gates. By the premise of avoiding...
QoS routing problem in wireless mesh networks is a NP-complete problem, and it is hard to get the global solution with the traditional algorithm. In this paper, we adopt a novel dynamic ant genetic hybrid algorithm to solve QoS unicast routing problem for wireless mesh network, whose innovation are using the best melting point evaluation strategy to control the calling of the two algorithms dynamically...
High rate and high quality of service as well as multi-technology connections are the key words for the future home networks. For this goal, we introduce a new convergence layer denoted inter-MAC, which provides a common infrastructure to the home network at layer 2. Among the inter-MAC functionalities, we focused our interest on the path selection mechanism. To improve quality of service, we define...
The QoS is a key measure for satisfaction level of next-generation network (NGN). QoS multicast routing is becoming an urgent problem to promote NGN. An optimization mode is proposed for it, and an immune inspired algorithm is designed to solve the model. The simulation study shows the promising effects of the model and the algorithm. The study can meet the requirements of NGN performance optimization.
Bandwidth-delay-constrained multicast routing problem is an NP-complete problem. In this paper, we propose a QoS multicast routing algorithm based on artificial fish swarm optimization. Meeting with the bandwidth-delay-constrained, the proposed algorithm can search the least-cost multicast routing tree quickly. Simulation results show that this algorithm has high reliability and good performance of...
Providing QoS support is crucial to guarantee effective transportation of multimedia service for ad hoc network. In this paper, a QoS multicast routing algorithm with bandwidth and delay constraints was proposed. It utilizes genetic algorithm to search optimized multicast tree which satisfies the QoS requirement. The simulation results show that the algorithm has fast convergence and high routing...
In this paper, we proposed a novel probability convergence based particle swarm optimization algorithm for the multiple constrained QoS multicast routing. This algorithm is inspired from the probability convergence attributes. The main contents of this paper includes: (1) A novel particle sorting rule of swarm are designed. (2) A novel probability convergence mechanism is developed in the position...
Todaypsilas access network is migrating towards broadband IP, fixed/mobile convergence and service convergence. Thus, the next generation access network (NGAN) requires a converged optical/wireless access network infrastructure, other than the existing architecture that connect to the cellular, broadband wireless, and optical access networks separately, which complicate the network and increase the...
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