Folasade DAHUNSI
@futa.edu.ng
Associate Professor and Computer Engineering Department/Faculty of Engineering and Engineering Technology
The Federal University of Technology, Akure
RESEARCH INTERESTS
Energy data analytics, Location Based technology, Communication Networks, ICT, Control system application
Scopus Publications
Scholar Citations
Scholar h-index
Scholar i10-index
Scopus Publications
A. E. Olawumi and F. M. Dahunsi
African Journals Online (AJOL)
Data mining is a promising tool used in processing energy data collected from energy consumers. The knowledge derived from energy data is very pertinent in the formulation of various demand-side management programs. This paper uses clustering techniques to segment the energy consumption patterns of residential and commercial buildings; situated at different geographical locations. The two (2) commonly used clustering techniques: K-Means and Agglomerative Hierarchical Clustering, were employed. The result indicates that the choice of clustering technique for load profiling is highly subjective to the nature of the dataset. Hence, using Davies-Bouldin Index (DB) Index and Silhouette Index (SI) as clustering indicators to select an optimum number of clusters and the best clustering technique. Hierarchical clustering was identified as the most appropriate clustering for the two buildings.
O. A. Agbolade, S. A. Oyetunji, and F. M. Dahunsi
IEEE
This research presents a heterogeneous pricing model for long-range wide area networks (LoRaWAN). Most previous pricing model by LoRaWAN operators does not take into cognizance the different latency and QoS requirement of the applications running on their network. In this work we propose a model that uses the spreading factor allocation motivated by the priority level requested for by each node during the profiling of the node on the network. This was achieved by using a novel spreading factor allocating algorithm. Our result shows that the developed spreading factor allocating algorithm was able to assign optimal transmitting parameter to each node based on their priority level. We also show that by using our model, LoRaWAN operators can make about 21.6 percent more profit. Our model also ensures a fair usage policy among all users by ensuring that the quality of service of the network is not compromised.
Oluwasegun Somefun, Kayode Akingbade, and Folasade Dahunsi
Springer Science and Business Media LLC
Olaide Ayodeji Agbolade, Folasade Mojisola Dahunsi, and Samson Adenle Oyetunji
GN1 Sistemas e Publicacoes Ltd.
Josiah Godwin Ajisafe and Folasade Mojisola Dahunsi
IEEE
With the increasing demand for energy in all human activities today comes the inherent challenges of energy generation, transmission, distribution and consumption, and ultimately, management. Different technologies, such as the Smart Grid System, have been developed over the years to solve many problems associated with energy demand and supply in many countries. However, several aspects still require innovative system designs and controls to solve. One is the energy management system's demand side management (DSM). The residential sector requires the most efficient energy management schemes of the three basic categories of electricity consumers. This paper approaches the challenge of developing a Residential Load Simulator using MATLAB-GUIDE for estimating and visualizing the energy consumption and cost implication of energy used in typical Nigerian homes. The Simulator models four categories of houses and eight common electrical appliances. The energy consumption and cost effect are estimated for 24 hours per day, 5 weekdays, 2 weekends, and one month. The granularity of estimation is hourly.
John S. Wejin, Joke A. Badejo, Oluranti Jonathan, and Folasade Dahunsi
IEEE
Since its inception, the Internet has experienced tremendous speed and functionality improvements. Among these developments are innovative approaches such as the design and deployment of Internet Protocol version six (IPv6) and the continuous modification of TCP. New transport protocols like Stream Communication Transport Protocol (SCTP) and Multipath TCP (MPTCP), which can use multiple data paths, have been developed to overcome the IP-coupled challenge in TCP. However, given the difficulties of packet modifiers over the Internet that prevent the deployment of newly proposed protocols, e.g., SCTP, a UDP innovative approach with QUIC (Quick UDP Internet Connection) has been put forward as an alternative. QUIC reduces the connection establishment complexity in TCP and its variants, high security, stream multiplexing, and pluggable congestion control. Motivated by the gains and acceptability of MPTCP, Multipath QUIC has been developed to enable multipath transmission in QUIC. While several researchers have reviewed the progress of improvement and application of MPTCP, the review on MPQUIC improvement is limited. To breach the gap, this paper provides a brief survey on the practical application and progress of MPQUIC in data communication. We first review the fundamentals of multipath transport protocols. We then provide details on the design of QUIC and MPQUIC. Based on the articles reviewed, we looked at the various applications of MPQUIC, identifying the application domain, tools used, and evaluation parameters. Finally, we highlighted the open research issues and directions for further investigations.
Folasade M. Dahunsi, Denis Awosika, Sodiq Eniola, and Charles Udekwe
IEEE
Smart grids are quickly displacing traditional grids and are smart energy meters a versatile part of the smart grid. These meters rely heavily on practical microcontrollers, sensors and communication technologies essential for effective and efficient communication on the network. As a result, existing electrical energy meters components (microcontroller and sensor) for projects must be researched and compared to establish their efficacy in smart meters. Performance metrics considered are power consumption, accuracy, memory size and cost of the microcontrollers. Integrated all-in-one PZEM004T and individual voltage sensor-ZMPT101B and current sensor-SCT013 non-invasive sensors were investigated. Microcontrollers studied are readily available in the Arduino Uno board, ATMEGA328P, STM32, ATMEGA1284P and the PZEM. The results indicated that ATMEGA 1284P most satisfies the performance metrics considered.
Folasade M. Dahunsi, Hameed Ijadunola, Adegoke O. Melodi, and Akinlolu A. Ponnle
IEEE
Smart energy metering circuits or devices extract energy information from their point of application and transmit it through communication networks. Communication features in smart meters have made energy monitoring easier, leading to improved energy management. Communication technologies applied in smart metering circuits have unique advantages and disadvantages. This paper presents a comparative analysis of Global System for Mobile Communication (GSM), Wireless Fidelity (Wi-Fi), and Low Power Area Network (LPWAN) communication technologies. Performance parameters such as power consumption, network coverage, received signal strength indicator (RSSI), and the cost was investigated as Nigeria opened its door to smart meters. The paper concludes that all communication technologies investigated have suitable application areas within the smart metering network. LPWAN, with the most efficient use of power and large coverage area, is suitable for rural areas in Northern Nigeria with a large expanse of land and little or no mobile network operators' presence. The Wi-Fi communication technology is best for housing estates and rural areas in southern Nigeria. GSM is most applicable for urban and suburban areas in Nigeria and inter-network connections by Wi-Fi and LPWAN to the internet.
Ayokunle Ayoyemi Akinlabi and Folasade Mojisola Dahunsi
Informa UK Limited
Mobile broadband since its adoption in Africa has been able to deliver both social and economical dividends to the African people. The increased migration to mobile broadband services in Africa is due to accelerated smartphone adoption rate, increased network roll-out and translation to new and faster technologies. Because technological growth plays a substantial role in society, there is a need for an independent and unbiased assessment of the quality of service offered by mobile broadband infrastructure. However, little work had been carried out on the systematic and consistent investigation of mobile broadband performance monitoring, analysis, evaluation and reporting in Africa. This paper presents a thorough inquiry into the methods employed for end-to-end mobile broadband network measurement, monitoring and experimentation. Policies and recommendations are proposed based on the lessons learnt. Amongst these recommendations is advocacy for the use of a host-based measurement approach for the continued study of mobile broadband performance to assist the various stakeholders to make informed decisions. Furthermore, it was brought to the fore that unsatisfactory broadband speed is not the sole factor that limits the quality of broadband service, and, lastly, significant variations in broadband speed for the same service can be recorded over time due to several complex factors relating to different measurement approaches and conditions.
S A Olayanju and F M Dahunsi
IOP Publishing
The consideration for reduced operational expenses (OPEX) and concern for carbon dioxide (CO2) emission effects on the environment has made energy efficiency a key ingredient in the design and operation of communication networks. The introduction of 5G wireless networks come along with millions of Base Transceiver Stations (BTSs) and corresponding billions of devices that can be connected to the networks. The future of radio communications is then posed for greater energy consumption. Energy-efficient wireless communication (“green” communication) is a compelling need. In this paper, analysis for exploiting sleep modes of 5G non-standalone New Radio (NSA-NR) heterogenous BTS for energy consumption optimization is provided. The analysis includes the prospects of using the sleep ratio of 4G long term evolution (LTE) and 5G NR of the heterogenous BTS to optimize energy consumption.
F.M. Dahunsi, O. A. Somefun, A.A. Ponnle, and K.B. Adedeji
African Journals Online (AJOL)
In recent years, the electric grid has experienced increasing deployment, use, and integration of smart meters and energy monitors. These devices transmit big time-series load data representing consumed electrical energy for load monitoring. However, load monitoring presents reactive issues concerning efficient processing, transmission, and storage. To promote improved efficiency and sustainability of the smart grid, one approach to manage this challenge is applying data-compression techniques. The subject of compressing electrical energy data (EED) has received quite an active interest in the past decade to date. However, a quick grasp of the range of appropriate compression techniques remains somewhat a bottleneck to researchers and developers starting in this domain. In this context, this paper reviews the compression techniques and methods (lossy and lossless) adopted for load monitoring. Selected top-performing compression techniques metrics were discussed, such as compression efficiency, low reconstruction error, and encoding-decoding speed. Additionally reviewed is the relation between electrical energy, data, and sound compression. This review will motivate further interest in developing standard codecs for the compression of electrical energy data that matches that of other domains.
F.M. Dahunsi, O.R. Olakunle, and A.O. Melodi
African Journals Online (AJOL)
Advancement in technology has continuously driven the evolution of metering devices and infrastructure in the world and has resulted in more accurate and user-friendly devices equipped with customer interaction interfaces. The evolution of metering technology in Nigeria arose with the unbundling of the National Electric Power Authority (NEPA) but have not progressed smoothly and successfully despite the implementation of various reforms and policies in the Nigerian electricity industry. The persisting problems in the electricity distribution system such as energy theft, vandalism, energy wastage, high line losses can be overcome by the deployment of appropriate metering infrastructure. In the second quarter of 2020, the Nigerian Electricity Regulatory Commission revealed that the total registered customers and total metered customers are 10,516,090 and 4,234,759 respectively leaving a metering gap of 59.73%; after 124 years of commercial electricity availability in Nigeria. This paper discusses Nigeria's metering history and the challenges encountered in the transition of policies, technologies and government reforms. The paper also proposes the way forward to a successful transitioning into a smart distribution grid.
Folasade M. Dahunsi, , Abayomi E. Olawumi, Daniel T. Ale, Oluwafemi A. Sarumi, , and
American Institute of Mathematical Sciences (AIMS)
<abstract> <p>The evolution of smart meters has led to the generation of high-resolution time-series data - a stream of data capable of unveiling valuable knowledge from consumption behaviours for different applications. The ability to extract hidden knowledge from such massive amounts of data requires that it be analysed intelligently. Hence, for a clear representation of the various consumption behaviours of consumers, a good number of data mining technologies are usually employed. This paper presents a systematic review of the various data mining techniques and methodologies employed while profiling energy data streams. The review identifies the strengths and shortcomings of existing data mining methods as applied in research, focusing more on data processing techniques and load clustering. Also discussed are data mining methods used to profile consumption data, their pros and cons. It was inferred during the research that the choice of data mining technique employed is highly dependent on the application it is intended for and the intrinsic nature of the dataset.</p> </abstract>
Oluwasegun Ayokunle Somefun, Kayode Akingbade, and Folasade Dahunsi
Elsevier BV
Jacob O. Mebawondu, Folasade M. Dahunsi, and Olumide S. Adewale
Elsevier BV
Akinwale Oluwaseyi Fadamiro, Oluwole John Famoriji, Rabiu S. Zakariyya, Fujiang Lin, Oluwasegun Ayokunle Somefun, Erastus O. Ogunti, Waliu O. Apena, and Folasade M Dahunsi
International Association of Online Engineering (IAOE)
A novel hypothesis is proposed for the radiation pattern of a Rec-tangular Microstrip Patch Antenna sensitive to temperature variations from the ideal room temperature tolerance under which it was manufactured. In order to validate this hypothetical model, equations relating the resonating frequency, patch length and dielectric constant of the antenna to variations from the room temperature were improved. Simulations were carried out to validate the hypoth-esis in the drifts in ambient temperature effects on dimensions of the patch an-tenna and its field radiation patterns; including its directivity, power pattern, max-imum radiation in the electric-field plane.
Boniface K. Alese, Abimbola Akindele, Folasade M. Dahunsi, Aderonke F. Thompson, and Tosin Adesuyi
IEEE
Conventional password has been used for authentication for a long time due to its advantages. However, it drawbacks such as weak or unrecalled passwords has frequently compromised security. This paper presents a graphic-based cryptographic model (GBCM) with enhanced usability and security. The GBCM model consists of registration and verification stages that users must successfully complete in order to be authenticated. A hybrid technique based on recognition, cued and pure recall was adopted. The GBCM security is enhanced by using a three-level authentication mode, secret key, operator and scrambling of grid cells, thereby mitigating shoulder surfing attack; usability is enhanced using grid cell identity (ID) and images. Consequently, the implementation shows that, out of 18 users registration done with the system, 83.33% remembered their images, 83.33% also remembered their secret keys while 88.89% remembered their operator, resulting in 77.78% successful login. The login success proves user friendliness of the GBCM system.
Folasade Mojisola Dahunsi and Barry Dwolatzky
Springer Science and Business Media LLC
B. K. Alese, F. M. Dahunsi, R. A. Akingbola, O. S. Adewale, and T. J. Ogundele
IEEE
Emergence of honeynet, which is a network of honeypots, has changed the phase of internet security and information gathering about intruders. In improving deception of the honeynet which in turn increases the workload of attackers, most honeynet deployments are geared towards improving on the deception deal by using MAC addresses, IP addresses and protocols on host machine. Attackers gain access to networks with different motives, this work focuses on attackers who aim for data theft, data insertion, data deletion and data modification This paper also includes data manipulation, a new component introduced by the users of these hosts. This data content contributes to improving deception by dynamically sorting, shuffling, updating, manipulating and mapping each last modified state of the data to a unique MAC/IP addresses of an intruder machine that modified the system.
F. M. Dahunsi
IEEE
Energy is an important perquisite for the social and economic development of any nation. With increase in the agricultural and industrial activities in Africa, modern forms of energy are required for optimal kickoff, efficiency and sustainability of these activities which are necessary requirements for the development of the African continent. Unfortunately, access to modern forms of energy has eluded Africans and only about 30% of the population has access to electricity while 90% relies on traditional fuels for cooking. This paper proposes a framework that will assist in the provision of modern energy to Africans. This framework takes into cognisance monitoring, energy efficiency, sustainability and management and also renewable energy among other things.
Folasade Dahunsi and Barry Dwolatzky
Informa UK Limited
This article describes an empirical investigation of factors influencing the accuracy of location-based services (LBS) on GSM phones in South Africa. The experimental settings were three distinct environments in Johannesburg, South Africa. The results indicated that some parameters such as geographical location and environment of an LBS request have a significantly high impact on the accuracy of LBS. In addition, there was also a huge difference between the predicted and provided accuracies by mobile location providers. This article concludes with a discussion of solutions on bridging the gap between the predicted and provided accuracies to LBS users with the view of improving LBS user dependability on the service provided.
F.M. Dahunsi, B. Dwolatzky, and A. Love
Institute of Electrical and Electronics Engineers (IEEE)
The accuracy of Received Signal Strength (RSS)-based positioning methods is highly variable due to its dependence on various varying parameters such as the wireless environment, topology of the network, propagation model utilized etc. In this paper, drive test data were analyzed to examine the effect of distances from the Mobile Station to the serving and neighbouring base stations (BSs) on the accuracy of four RSS-based geometric positioning methods. The relationship between the accuracy of these positioning methods and distances between the BSs were also considered. There is relatively varying differences that the topologies of the network have on the accuracy of the positioning algorithms. The RSS-based geometric algorithms considered include the Centre of Gravity, the Circular Trilateration, Circular Trilateration and the Least Square algorithms.
F.M. Dahunsi and B. Dwolatzky
IEEE
Location-Based Services make available personalized services based on the geographical location of the subscriber mobile phone. These services are based on wireless technology and are accessible through mobile stations (mobile phones, Personal Digital Assistants (PDA), etc). With cheap and readily available mobile phones, underprivileged, low-income earners and rural dwellers in South Africa can optimize services provided by the mobile evolution. It is therefore important to measure and analyze the accuracy provided to ensure optimal service delivery to LBS users and explore ways to ensure customer satisfaction. This paper presents results from data on LBS collected from fifty locations in South Africa. The study aims at assessing the factors that influence the accuracy of location measurements in cellular networks. The statistical analysis of different factors such as: time of day, environment, geographical location, type of LBS request and mobile operators' network are presented. Our findings indicated that some parameters such as geographical location and environment of a LBS request have a significantly high impact on the accuracy. It is therefore important for improved accuracy to consider these parameters when providing LBS to users.
F.M. Dahunsi and B. Dwolatzky
IEEE
Location Based Services (LBS) enables mobile users to have access to information based on their current geographical location. LBS are an important aspect of the ubiquitous wireless world and are paving the way to provide users with customizable services anywhere and at anytime. It is worth noting that there are different accuracy requirements for different LBS and not all location methods can provide the required accuracy due to error sources. Mobile network operators need to know which location method is best suited for the required accuracy of LBS based on the dynamically varying factors that affects the location method. The sources of the errors include geographical sources, wireless environment sources, measurement bias, geometric sources, etc. This paper proposes the development of a framework that will allow mobile network operators to compare different location methods to ensure the provision of improved quality of service to the mobile user and optimized usage of infrastructure. This framework takes into consideration the error sources of the location methods based on specific geographic area.