Mobile Networks and Applications

Recently, global epidemic models that use climatological factors have been proposed to explain influenza activities for both temperate and tropical regions. In this paper, these global models were extended by including interactions of ...

The development of medical sensors and the Internet of Things (IoT) offers many opportunities for research on disease diagnosis and prognosis in the electronic healthcare (eHealth) industry. IoT medical applications use wearable medical sensor ...

The performance of various recommendation algorithms is getting stronger and stronger, which also brings new social problems and group polarization. The recommendation algorithm creates a user’s selective access to information, and the continuous ...

Convergent encryption has been widely used in secure deduplication technology, but because the data itself is predictable, directly using the hash value of the data as a key is vulnerable to brute force attacks. To this end, researchers have ...

As manipulating the self-assembly of supramolecular and nanoscale constructs at the single-molecule level increasingly becomes the norm, new theoretical scaffolds must be erected to replace the thermodynamic and kinetics based models used to ...

MCA (MCA (Membrane Computing Aggregation is an experimental bioinspired computational frame, inspired by the inner properties of membrane cells. It is capable of problem-solving activities by maintaining a special, meaningful relationship with the ...

In this paper, we explore the theory and expand upon the practice of fitness landscape analysis for optimization problems over the space of permutations. Many of the computational and analytical tools for fitness landscape analysis, such as ...

This paper proposes an enhanced version of Moth Flame Optimization (MFO) algorithm, called Enhanced Chaotic Lévy Opposition-based MFO (ECLO-MFO) for solving the mesh router nodes placement problem in wireless mesh network (WMN-MRNP). The proposed ...

A new meminductor based hyperchaotic oscillator and its mathematical model were presented. Meanwhile, some basic dynamic properties such as equilibrium point and stability were analyzed. Through Lyapunov exponents and bifurcation diagram and other ...

For the generalized spatial modulation in the underdetermined system with the number of transmitting antennas larger than the number of receiving antennas, the activation of the antenna is small and inaccurate. The traditional MMSE algorithm and ...

Combining conformable differential definition and Adomian decomposition method (ADM) algorithm, the dynamics of a new 4-D fractional-order chaotic system was studied through numerical simulation in this paper. The dissipation of the system and the ...

As an important material and technical support of the data link system, the communication network system not only plays an “adhesive” role in integrating the combat forces, optimizing the operational composition and realizing the complementary ...

For the frequency spectrum leakage and fence effect generated in Fast Fourier Transform (FFT) during asynchronous sampling and integral period truncation affect the precision of harmonic detection, a new algorithm for harmonic analysis based on ...

In cooperative communication, relay reduces the stored energy for its own transmission due to the energy consumption for forwarding the information from source node. In this paper, simultaneous wireless information and power transfer (SWIPT) for ...

Road transportation is the backbone of modern economies despite costing annually millions of human deaths and injuries and trillions of dollars. Twitter is a powerful information source for transportation but major challenges in big data ...

A better understanding of Driving Patterns and their relationship with geographical driving areas could bring great benefits for smart cities, including the identification of good driving practices for saving fuel and reducing carbon emissions and ...

Road transportation is among the global grand challenges affecting human lives, health, society, and economy, caused due to road accidents, traffic congestion, and other transportation deficiencies. Autonomous vehicles (AVs) are set to address ...

Mobile computing has emerged as a pervasive technology that empowers its users with portable computation and context-aware communication. Smart systems and infrastructures can exploit portable and context-aware computing technologies to provide ...

E-learning systems are getting growing interest due to their wide applicability in distance education. A huge amount of data is shared among students, teachers, examiners that should be exchanged in a confidential manner. In literature, a number ...

From the last few years, we have witnessed an exponential increase in the usage of delay-sensitive applications by the end-users because of the paradigm shift and revolution in different technologies starting from 1G to 5G most of which are having ...

In wireless sensor and IoT networks dedicated to smart-cities, a leader node performs critical tasks such as generating encryption/decryption keys. In this paper, the leader is the node situated at the extreme left of the network. It is the node ...

We are interested in formal verification and model-based testing for Internet of Things and Smart Cities. In general these two techniques suffer from state explosion problem. To remedy this situation we propose a set of techniques which aim to ...

SpMV is a vital computing operation of many scientific, engineering, economic and social applications, increasingly being used to develop timely intelligence for the design and management of smart societies. Several factors affect the performance ...

Mobile phones are a valuable object in our daily life. With the acquisition of the latest technologies, their capabilities and demands increase day by day. However, acquiring the latest technologies makes mobile phones vulnerable to various ...

A machine learning algorithm that can solve complex tasks by leveraging information through transfer learning while avoiding catastrophic forgetting of previously learned data. This clearly is a principal milestone to achieving human-level ...