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This work aims to minimize average delay for signalized traffic network along Jalan UMS under oversaturated condition using decentralized genetic algorithm (DGA). Relieving traffic network is a key challenge for a nation for improving its socio-economic systems and welfare to society. Control the traffic signal timing becomes a cost effective solution to reduce congestion since the space constraint...
The backpressure algorithm has been widely used as a distributed solution to the problem of joint rate control and routing in multi-hop data networks. By controlling a parameter V in the algorithm, the backpressure algorithm can achieve an arbitrarily small utility optimality gap. However, this in turn brings in a large queue length at each node and hence causes large network delay. This phenomenon...
Network providers now want to enable users to define their own flow priorities, and commercial devices already implement this ability. However, it has been shown that directly applying arbitrary user-defined priorities can fundamentally destabilize a network. In this paper, we show that it is possible to apply user-defined priorities while keeping the network stable. We introduce U-BP, a scalable...
Current network architecture suffers overloading due to extensive resource utility. This paper proposes a resource mapping algorithm upon service layer of service-based network: the unit of service component requests resource as well as limits; an agent is embedded in the component to surveil the utility of network resource. If network resource violates the limits, agent will punish the component...
In real-time multicast, delay and inter-destination delay variation of group members are bounded above by a value. The problem is known as Delay and Delay Variation Bounded Multicast Tree (DVBMT), which is proven to be NP-complete. In this paper, we propose a directional approach (DCS) for core selection and tree generation satisfying delay and inter-destination delay variation constraints. After...
For stabilizing power frequency in the grid, demand-supply balancing capability by manipulating the demand side, known as Demand Response (DR), is getting attention because of the continuous increase in renewable energy resources and deferrable loads such as electric vehicles in addition to the traditional adjustment function by supply side such as thermal plants. In the future smart grid, it is imperative...
With the gradual easing of the low altitude policy in China, the domestic general aviation is breaking the bottleneck and booming, which may bring a fact that the after-sales service of the aircraft shall be put on the schedule in the forecasting future. As an important resource, the supply status of aircraft spares has great effects on the normal operation of the aircraft. Plenty of researches have...
This paper proposes the application of a quantum inspired reinforcement learning technique for spectrum assignment of wireless communication networks. The proposed technique aims to enhance the speed of learning convergence through the dependence of the decision process on a well ranked action desirability table which is updated based on the success or failure of an action. In addition, the exploration...
How to adjust parameters to adapt to the dynamic network conditions is a main problem in wireless communications. There are not any effective methods to deal with this problem, especially in non-saturation conditions. By analyzing feedback signal of channel, we introduce a linear adjustment rules of CW about idle slot intervals of channel, which can be used in non-saturation conditions. And then,...
Cloud computing is an emerging technology that greatly shapes our lives, where users run jobs on virtual machines (VMs) on physical machines (PMs) provided by a cloud provider, saving the investment in upfront infrastructures. Due to the heterogeneity of various jobs, different VMs on the same PM can have different job completion times. Meanwhile, the PMs are also heterogeneous. Therefore, different...
Radio Frequency IDentification (RFID) has enabled a wide range of automated tracking and monitoring applications. However, RFID tags share a wireless communication medium to deliver their information to the RFID reader which results in tag collisions and, hence, a significant energy consumption and delay in the interrogation process. Handling tag collisions is a challenging task because of the limited...
This paper introduces a novel traffic grooming algorithm for the connection establishment of deadline-driven requests. The algorithm grooms batches of requests rather than individual requests. Results indicate that the algorithm is able to significantly reduce the blocking ratio and promote a fair distribution of blocking among source destination pairs of nodes.
We investigate the problem of finding minimum-distortion policies for streaming delay-sensitive but distortion-tolerant data. We consider cross-layer approaches which exploit the coupling between presentation and transport layers. We make the natural assumption that the distortion function is convex and decreasing. We focus on a single source-destination pair and analytically find the optimum transmission...
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