This thesis explores the role mobile sensor’s mobility model and how it affects surveillance system performance in term of area coverage and detection effectiveness. Several algorithms which are categorized into three types, namely, fully coordinated mobility, fully random mobility and emergent mobility models are discussed with their advantages and limitations. A multi-agent platform to organi...

We describe a new model to simulate the dynamic interactions between market price and the decisions of two different kind of traders. They possess spatial mobility allowing to group together to form coalitions. Each coalition follows a strategy chosen from a proportional voting “dominated” by a leader’s decision. The interplay of both kind of agents gives rise to complex price dynamics that is ...

We adopt temporal graph model to explore the dynamic temporal properties of three mobility datasets in DTN (Delay Tolerant Network), collected from different sources, including one university campus WLAN and two conferences WLANs. With this model, we observe that the temporal network density of DTN changes with time and approximate varies periodically. Then we study the impact of this phenomeno...

We demonstrate the confinement of acoustic phonons in ultrathin silicon layers and study its effect on electron mobility. We develop a model for confined acoustic phonons in an ideal single-layer structure and in a more realistic three-layer structure. Phonon quantization is recovered, and the dispersion relations for distinct phonon modes are computed. This allows us to obtain the confined pho...

The simulation of mobile networks requires mobility models that reproduce the movement of nodes in a realistic way. Although many such models exist, they are not well suited for model office scenarios in which movements are mostly caused by people meeting in known locations to discuss some issues. We present first steps towards a meeting model for office environments which is based on the real ...

To model nonlinear device behavior at microwave frequencies, accurate large-signal models are required. However, the standard procedure to estimate model parameters is often cumbersome, as it involves several measurement systems (dc, vector network analyzer, etc.). Therefore, we propose a new nonlinear modeling technique, which reduces the complexity of the model generation tremendously and onl...

The discrepancy between real-world radio channel behavior and its standard modeling in simulations (Unit Disk Graph) is a major reason for protocols to perform different – often worse – than predicted when deployed in a real-world setup. As researchers having to deal with real ad hoc networks are aware of, assuming a fixed border for a node’s communication range might not only lead to inaccurat...

Advertisements, are the most important source of revenue for some of the biggest Internet-based companies. With vehicular networks poised to become part of the Internet in the near future, this new “edge” of the Internet represents a new frontier that companies will be striving to reach. In this paper we investigate the feasibility of targeted dissemination of ad content in a car network. We pr...

This paper presents a mobile tracking scheme that exploits the predictability of user mobility patterns in wireless PCS networks. Instead of the constant velocity fluid-flow or the random-walk mobility model, a more realistic Gauss-Markov model is introduced, where a mobile’s velocity is correlated in time to a various degree. Based on the Gauss-Markov model, a mobile’s future location is predi...