Wireless Sensor Networks (WS N) is an interconnection of a large number of nodes deployed for monitoring the system by means of measurement of its parameters. Recent research in wireless sensor networks has led to various new protocols which are particularly designed for sensor networks. To design these networks, the factors needed to be considered are the coverage area, mobility, power consump...

In its current state, the simulator provides all the above. It is intended as a research tool for investigating spiking neural systems, and particularly their use in spike based auditory processing. The basic mode of operation is very simple: once the network has been set up and the input files determined, the network is simulated using a fixed time-step for a predetermined length of time. The ...

The research in this paper presents the detailed development and on-line evaluation of a microscopic traffic flow model for the city of Irvine in Southern California. This effort is the first stage of evaluating micro-simulators in terms of their ability to model and analyze Intelligent Transportation Systems (ITS) under faster-than-real-time conditions. We utilize “Paramics,” a particularly pr...

The simulation of communication networks using a continuous-state, or fluid modeling approach, has shown to be very efficient for a wide range of performance evaluation scenarios. In this paper we present a fluid model of the RED active queue management algorithm for FluidSim, a simulation tool based on the fluid paradigm. We compare the behavior and efficiency of our model against the results ...

The Wireless Sensor Network (WSN) is a monitoring system consisting of large number wireless devices forming multi-hop network without infrastructure. WSN nodes are generally cheap resource-constrained detecting environmental features using sensors. Although well-established communication protocols for Internet systems can provide reliable and secure between peers, applying similar solutions on...

In this paper, we propose a network simulator for smartspace. Our simulator provides the following functions. (1) Realistic simulation of wireless communication; (2) Software compatibility for allowing code for real device to run on the simulator without modifying it; (3) Simulating network consisting of virtual and real devices. To realize the above (1), the simulator simulates radio propagati...

The memory hierarchy model is a powerful tool that can separate the stall time in a multi-level cache. However, since no tool currently exists that is able to compute this information, it is diicult to validate the model. In this respect, a processor simulator can help. With a simulator, we can directly observe the stall time due to cache misses, and thus obtain cpi 0. We succesfully validate t...

. This paper describes a simulation tool developed for 3G planning and suitable also for some RRM strategies evaluation. The innovative issue is that the simulator is based on data extracted from real GSM/UMTS networks. Considering the extensive use of GSM/UMTS co-siting for 3G network deployment, an accurate representation of propagation, mobility as well as traffic distribution is achieved co...