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Network coverage is crucial for the adoption of advanced Smart Home applications. The commonly used log-based path loss model is not able to accurately estimate WiFi signal strength in different houses, as it does not fully consider the impact of building morphology. To better describe the propagation of WiFi signals and achieve higher estimation accuracy, this paper studies the basic building morphology characteristics of houses.

A new path loss model based on a decision tree was proposed after measuring the WiFi signal strength passing through multiple housing units. Three types of regression models were tested and compared.

The findings demonstrate that the log-based path loss model fits small houses well, while the newly proposed nonlinear path loss model performs better in large houses (area larger than 125 m2 and area-to-perimeter ratio larger than 2.5). The impact of building design on path loss has been proven and specifically quantified in the model.

Proposed an improved model to estimate indoor network coverage. Quantify the impacts of building morphology on indoor WiFi signal strength. Improve WiFi signal strength estimation to support Smart Home applications.

Recent reports suggest the shape and size of the digital divide may be changing. This exploratory study aims to examine the relationships between demographic and situational variables and small and medium‐sized enterprise (SME) owners' intentions to adopt and use free public wifi technology.

A survey study of 158 SME owners in the urban renewal community (RC) of a large Southwestern metroplex investigated the influence of known digital divisors – gender, ethnicity, age, education, and experience – on the adoption and use of wi‐fi technologies. Partial least squares was used to test the hypotheses.

Contrary to previous research, gender, age, education, and experience were not related to the intention to adopt wifi technology. Ethnicity was significantly related to intent to adopt, but the relationship was small. Ethnicity and age were found to be somewhat related to wifi usage. In marked contrast from earlier research, education, gender, and experience were not significant predictors of usage.

The findings suggest that access to high‐speed wifi has the potential to reduce and/or eliminate the digital divide. The projected changes in the digital divide can be expected to make a significant impact on SME productivity and performance.

This study is one of the first to examine the influence of the adoption and use of public wi‐fi technologies by SME owners on the digital divide.

At present, smartphones are embedded with accelerometers, gyroscopes, magnetometers and WiFi sensors. Most researchers have delved into the use of these sensors for localization. However, there are still many problems in reducing fingerprint mismatching and fusing these positioning data. The purpose of this paper is to improve positioning accuracy by reducing fingerprint mismatching and designing a weighted fusion algorithm.

For the problem of magnetic mismatching caused by singularity fingerprint, derivative Euclidean distance uses adjacent fingerprints to eliminate the influence of singularity fingerprint. To improve the positioning accuracy and robustness of the indoor navigation system, a weighted extended Kalman filter uses a weighted factor to fuse multisensor data.

The scenes of the teaching building, study room and office building are selected to collect data to test the algorithm’s performance. Experiments show that the average positioning accuracies of the teaching building, study room and office building are 1.41 m, 1.17 m, and 1.77 m, respectively.

The algorithm proposed in this paper effectively reduces fingerprint mismatching and improve positioning accuracy by adding a weighted factor. It provides a feasible solution for indoor positioning.

Nowadays, WiFi indoor positioning based on received signal strength (RSS) becomes a research hotspot due to its low cost and ease of deployment characteristics. To further improve the performance of WiFi indoor positioning based on RSS, this paper aims to propose a novel position estimation strategy which is called radius-based domain clustering (RDC). This domain clustering technology aims to avoid the issue of access point (AP) selection.

The proposed positioning approach uses each individual AP of all available APs to estimate the position of target point. Then, according to circular error probable, the authors search the decision domain which has the 50 per cent of the intermediate position estimates and minimize the radius of a circle via a RDC algorithm. The final estimate of the position of target point is obtained by averaging intermediate position estimates in the decision domain.

Experiments are conducted, and comparison between the different position estimation strategies demonstrates that the new method has a better location estimation accuracy and reliability.

Weighted k nearest neighbor approach and Naive Bayes Classifier method are two classic position estimation strategies for location determination using WiFi fingerprinting. Both of the two strategies are affected by AP selection strategies and inappropriate selection of APs may degrade positioning performance considerably.

The RDC positioning approach can improve the performance of WiFi indoor positioning, and the issue of AP selection and related drawbacks is avoided.

The RSS-based effective WiFi indoor positioning system can makes up for the indoor positioning weaknesses of global navigation satellite system. Many indoor location-based services can be encouraged with the effective and low-cost positioning technology.

A novel position estimation strategy is introduced to avoid the AP selection problem in RSS-based WiFi indoor positioning technology, and the domain clustering technology is proposed to obtain a better accuracy and reliability.

In 2014, the city of São Paulo began to implement the public policy “WiFi Livre SP.” This policy created the infrastructure for a WiFi network providing unrestricted internet connectivity in a 120 public squares, distributed in 5 geographical regions of the city (center, south, north, east, and west). In order to monitor the effectiveness of this public policy, a series of surveys were administered to users. The survey ascertained their views about the quality and frequency of the signal in the public squares.

To carry out analysis of this service a survey was used. The researchers camped out in the squares and flagged people down asking whether they could participate in the survey. Data was collected between August and October 2015, using an application for tablets developed by the research team.

The data showed that the networks functioned effectively and provided good service to the users. Another positive factor is the good signal evaluation in the public squares, since it was an initial concern of the project makers. Further, access to these networks made it possible for residents to use several platforms to communicate in an intensive fashion.

The findings show that a connectivity policy should be geared toward promoting the right of all citizens to access the internet regardless of their ability to pay. Free and full access without any sacrifices of privacy should be guiding principles in policy implementation.

Rapid advancements in nanotechnology are going to bring radical changes in the society and particularly in wireless communication where small, smart and speedy systems are everyone's first choice. This is possible as application of nanotechnology is taking place in WiMAX/WiFi and other wireless communication systems, which is ‘State-of-the-Art’ technology at the moment. Evolution of microelectronics towards miniaturization is one of the main motivations for nanotechnology. The continued improvements in miniaturization, speed and power reduction in information processing devices, sensors, displays, logic devices, storage devices, transmission devices, etc. will bring another technical revolution, which will change our life. In our research work, we would like to focus on design and development of programmable frequency synthesizer for WiMAX/WiFi wireless communication (to the scale of < 50 nanometer). The transceiver will support fixed, portable, and mobile WiMAX operation. The design strategies focus on maximum operating frequency, low power consumption, low voltage operation, minimize number of gates/transistors, CMOS Technology (< 50 nanometer), reduced fabrication cost, high speed applications in WiMAX/WiFi/Satellite communications, flexibility, programmability, and service efficiency. The proposed ‘Programmable frequency synthesizer will be a new device with its varied application for WiMAX/WiFi/Satellite and other wireless communication systems. The transceiver will support fixed, portable, and mobile WiMAX operation.

The purpose of this paper is to analyse some of the spectrum management policy implications of an evolving set of wireless technologies. Specially, deployment of heterogeneous networks (HetNets) as part of the rollout of long-term evolution networks and their expected use as the heart of next-generation services raises the question as to whether such networks should lead to any spectrum management policy changes.

The paper describes the use and variety of HetNets when using licensed and unlicensed or commons spectrum.

The paper demonstrates that there is little need to change current spectrum licensing regimes to deal with these networks in a licensed spectrum. However, it also shows that the deployment of HetNets other than WiFi in an unlicensed spectrum creates an information asymmetry, which means that spectrum regulators will find assessment of spectrum demand more difficult. The paper also highlights the problem facing spectrum regulators when there is a potential for interference to unlicensed services which are widely deployed but have no right to protection from interference.

Spectrum regulators will need to understand the extent to which an unlicensed spectrum is being used by mobile network operators to deliver wireless broadband services. This understanding is needed to be able to address potential interference with other services using an unlicensed spectrum and to be able to forecast spectrum demand.

The development of technologies that are designed to be used by existing mobile network operators for the delivery of wireless broadband services using an unlicensed spectrum creates novel regulatory challenges. This paper reviews some of these.

The purpose of this paper is to analyze mobile tethering from technological and social perspectives. Mobile tethering allows us to share cellular data connection with others over WiFi, Bluetooth or USB. Although the technology is ready and has promising outcomes, service providers and the users still keep their distance. Therefore, the incentives for the users and service providers should be identified.

Technical challenges in terms of energy and bandwidth consumption are explored using an application specifically developed for mobile tethering. Usage issues are studied through conjoint analysis, in which we analyze the importance of technical aspects as well as social conditions for sharing data connection with others.

The research shows that although energy, bandwidth and security are important technical challenges, users are mainly concerned about social aspects, such as with whom the connection will be shared, rather than monetary issues. Mobile tethering is a viable cooperative service, only when users are familiar with the person with whom the data connection is being shared.

In the technical evaluation of the mobile tethering application, only Android operating systems are being used. Other operating systems (e.g. iOS) may perform differently. Moreover, only a small fraction of smartphones and tablets has been tested.

Service providers tend to block mobile tethering technology, as they do not have control and do not expect to gain revenues. However, service providers have the abilities to satisfy the security and privacy concerns of the users and can create secure femtocells for their customers.

Mobile tethering performance results indicate that more people can access the Internet while they are mobile even if they do not have cellular data subscription. More Internet-based services can be offered to people while they roam in other countries.

For technology developers, both the key technical issues and the concerns of the consumers are highlighted. Future applications must contain reliable security and privacy protocols in their design. Moreover, the significance of the social networks is shown in the decision-making of the use of mobile tethering, especially with respect to the credit exchange.

With the emerging technologies, collecting and processing data about the behaviors of customers or employees in a specific location has become possible. The purpose of this paper is to evaluate existing data collection technologies.

Technology evaluation problem is handled as a multi-criteria decision-making (MCDM) problem. In this manner, a decision model containing four criteria and eight sub-criteria and four alternatives are formed. The problem is solved using hesitant analytic hierarchy process (AHP) and trapezoidal fuzzy numbers (TrFN).

The results show that the most important sub-criteria are: accuracy, quantity, ıntrospective and cost. Decision makers’ evaluate for alternatives, namely wireless fidelity (WiFi), camera, radio-frequency identification and Bluetooth. The best alternative is found as Bluetooth which is followed by WiFi and Camera.

Technology evaluation problem, just like many other MCDM problems are solved using expert evaluations. Thus, the generalizability of the findings is low.

In this paper, technology selection problem has been handled using hesitant AHP for the first time. In addition, the original methodology is extended by using TrFN to represent the expert evaluations in a better way.

The purpose of this paper is to develop a mobile service, based on anonymous location-based data, to help students find available reading rooms on a university campus. To evaluate this mobile service, both a usability test and a technology acceptance test were carried out.

The research followed a design science approach, including developing a prototype and evaluating the developed prototype.

The results from the usability test indicated good usability of the developed mobile service. The results from the technology acceptance test demonstrated students’ intention to use this mobile service. Most respondents indicated that they would like to use this mobile service to find available reading rooms when they are on campus.

The results imply that there are other contexts where anonymous location-based data are also useful. A similar mobile service can be developed for other contexts, such as, hospital complexes, shopping malls, and airports.

To the authors best knowledge, the authors have not found any mobile services aiming at counting the density of people residing in a room by using anonymous user location-based data on a university campus. This research fills this gap by developing the mobile service, called finding reading rooms.