Existing frequency assignment efforts in wireless sensor network research focus on balancing available physical frequencies among neighboring nodes, without paying attention to the fact that different nodes have different traffic volumes. Ignoring the different traffic requirements in different nodes in frequency assignment design leads to poor MAC performance. Therefore, in this paper, we are ...

In this paper, an adaptive subcarrier assignment method based on a stable matching algorithm is considered. From the performance comparison with other assignment methods (Hungarian-algorithm-based, contiguous and interleaved), our assignment method, while of relatively low complexity, resulted in a satisfactory performance in terms of per-ONU and overall achievable throughputs, and also it resp...

The number of electric vehicles is increasing rapidly worldwide, leading to demand for charging. This will negatively impact the grid. Therefore, it essential relieve power grid operation pressure by changing charging behaviour users. In this paper, was guided price instruments maintain balance paper uses travel simulation establish relationship between and electricity prices. results were eval...

This paper analyzes the day-to-day adjustment process of users’ behaviors in a transport network which is affected by relevant alterations such as disruptions due to critical events cause impossibility use one or more links. For representing progressive flows on reach new equilibrium, discrete-time model proposed, based idea that people are bounded rational their choices, i.e. they often do not...

This chapter demonstrates an application of agent-based selection dynamics to the traffic assignment problem. We introduce an evolutionary dynamic approach that acquires payoff data from multi-agent reinforcement learning to enable a adaptive optimization of traffic assignment, provided that classical theories of traffic user equilibrium pose the problem as one of global optimization. We then s...

This study establishes Markovian traffic equilibrium assignment based on the network generalized extreme value (NGEV) model, which we call NGEV assignment. The use of model for route choice modeling has recently been proposed, and it enables capturing path correlation without explicit enumeration. However, theoretical properties in have yet to be investigated literature, limited practical appli...

The road choice behavior of travelers is closely related to their activity planning and location choice. This approach has led to the increasing development of multi-agent and activity-oriented modeling. This work attempts to model travelers’ dynamic departure time/route/destination choice behavior in a queuing network. In this respect, we propose an activity-based predictive dynamic traffic as...