In wireless networks, the system capacity can vary unpredictably with time, due to mobility of users and dynamic channel assignment protocols. This variation in capacity with time, known as ‘stochastic capacity’, can have a major impact on the performance measures such as call blocking probability and queueing delay, of the wireless networks. The dependence of the stochastic capacity on the int...

Optimal channel assignment can enhance traffic capacity of a cellular mobile network and decrease interference between calls, thereby improving service quality and customer satisfaction. We combine genetic algorithms with stochastic ranking, to solve the problem of assigning calls in a cellular mobile network to frequency channels in such a way that interference between calls is minimized, whil...

The optimization of channel assignment in cellular networks is a very complex optimization problem and it becomes more difficult when the network handles different classes of traffic. The objective is that channel utility be maximized so as to maximize service in a stochastic caller environment. We address in this paper, the dynamic channel assignment (DCA) combined with call admission control ...

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 ...

The paper deals with simulation of congested road networks through dynamic traffic assignment models and presents a new quasi-dynamic traffic assignment model that improves realism and effectiveness of both usual static traffic assignment models and other quasi-dynamic models recently introduced in the literature, as it simulates flow progression onto the network by moving link flows according ...

This paper proposes a stochastic quasi-gradient (SQG) based algorithm to solve the off-line stochastic dynamic traffic assignment (DTA) problem that explicitly incorporates randomness in O–D demand, as part of a hybrid DTA deployment framework for real-time operations. The problem is formulated as a stochastic programming DTA model with multiple user classes. Due to the complexities introduced ...