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Quick response to evacuate residents within a short-notice in bushfire situation is vital, which can save lives. This translates to make a decision on selecting shelters, assigning the vehicles, finding the optimal routes, and schedules for evacuation. This study proposes a model as a decision support system that can determine the required vehicles their schedule and routes to evacuate late evacuees...
In this paper a novel planning system for coils route optimisation among different processing steps of a generic steelmaking plant will be presented. This new approach, in addition to production times and costs, considers also customers' quality requirements. The system is based on Multi-Objective Optimisation and, in particular, it can exploit different paradigms of Multi-Objective Evolutionary Algorithms...
Wireless Sensor Networks (WSNs) consist of multiple, distributed nodes each with limited resources. With their strict resource constraints and application-specific characteristics, WSNs contain many challenging trade-offs. This paper proposes a bio-inspired load balancing approach, based on pheromone signalling mechanisms, to solve the trade-off between service availability and energy consumption...
We discuss the scenario of developing an optimizer for a given space of problem instances. Standard practice typically resorts to choosing a broad approach (such as evolutionary search), then tuning the optimizer based on example problem instances, and/or hybridizing with domain-specific heuristics and expert knowledge. This will lead to a capable optimizer for the task, but we argue that the delivered...
In this 21st century people are looking for faster and efficient actions in each and every activities they involved. In this modern world, shopping is an inseparable & essential activity. But in reality it creates lot of stress and utilizes not only our time but also energy. Nowadays all kind of shops are available together in a location, but still confusion and unnecessary wandering are unavoidable...
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...
ZACA-EEC (Zigbee Ant Colony Algorithm Energy Efficient Cluster) routing protocol is proposed to replace AODV in Zigbee with the aim of increasing reliability for mine equipment monitoring in this paper, which can prolong the lifetime of network remarkably. Taking hydraulic support as an example, the distribution of monitoring nodes can be simplified as chain hierarchy topology, then Free-space model...
In order to improve the negative effect of increasing transformation cost of pseudo-Boolean Satisfiability algorithm in the routing process, a new routing algorithm was proposed for FPGA, which combined advantages of pseudo-Boolean Satisfiability and geometric routing algorithm. In the routing process, one of geometric routing algorithm-PathFinder was chosen firstly for FPGA routing. If not successful,...
The study aims at Supermarket Distribution Problem, a mathematical model is constructed and an ant colony algorithm with tabu search is put forward. The algorithm is tested in combination with Supermarket Distribution Problem. The experimental results indicated that the algorithm solves Supermarket Distribution Problem effectively with quick convergence, avoids local optimum, high precision solution...
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...
Wireless Sensor Networks have found wide acceptance in a range of user applications, due to their ability to monitor ambient conditions without human supervision. These networks typically consist of a large number of densely deployed, low-cost, low-power, multi-functional sensor nodes that interact with each other using wireless links. Despite several limitations in their individual resources, it...
IEEE 802.15.4 is a global standard designed for emerging applications in low-rate wireless personal area networks (LR-WPANs). The standard provides nice features such as a beacon-enabled mode and guaranteed time slots for real-time data delivery. However, how to optimally operate those features is still an open issue. For the optimal operation of the features, this paper proposes a holistic optimization...
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...
In order to successfully resolve the network infrastructure's problems the network provider has to improve the service quality. However in traditional ways, maintaining and improving of the service quality are generally determined in terms of quality of service criteria, not in terms of satisfaction and perception to the end-user. The latter is represented by Quality of Experience (QoE) that becomes...
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...
Vehicular Ad hoc Networks (VANETs) are a special type of Mobile Ad hoc Networks (MANETs), made by vehicles communicating among themselves, and by vehicles communicating to devices located in the margins of roads and highways. The main characteristic of a VANET is the high speed of network nodes - that can go up to 200 km/h -, and that impacts directly on the ability the network has to deliver data,...
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