Date of Award


Document Type


Degree Name

Master of Science in Electrical Engineering (MSEE)


Electrical Engineering

First Advisor

Dr. Atef Abdrabou

Second Advisor

Dr. Qurban Ali Memon

Third Advisor

Sabah Alkass


A city can be transformed into a smart city if there is a resource-rich and reliable communication infrastructure available. Smart city in effect improves the quality of life of citizens by providing the means to convert the existing solutions to smart ones. Thus, there is a need for finding the suitable network structure that is capable of providing sufficient capacity and satisfactory quality-of-service in terms of latency and reliability. In this thesis, we propose a wireless network structure for smart cities. Our proposed network provides two wireless interfaces for each smart city node. One is supposed to connect to a public WiFi network, while the other is connected to a cellular network (such as LTE). Indeed, Multi-homing helps different applications to use the two interfaces simultaneously as well as providing the necessary redundancy in case the connection of one interface is lost. The performance of our proposed network structure is investigated using comprehensive ns-2 computer simulations. In this study, high data rate real-time and low data rate non-real time applications are considered. The effect of a wide range of network parameters is tested such as the WiFi transmission rate, LTE transmission rate, the number of real-time and non-real time nodes, application traffic rate, and different wireless propagation models. We focus critical quality-of-service (QoS) parameters such as packet delivery delay and packet loss. We also measured the energy consumed in packet transmission. Compared with a single-interface WiFi-based or an LTE-based network, our simulation results show the superiority of the proposed network structure in satisfying QoS with a lower latency and lower packet loss. We found also that the proposed multi homing structure enables the smart city sensors and other applications to realize a greener communication by consuming lesser amount of transmission power rather than single interface-based networks

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