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An Efficient Rate Control Protocol for Wireless Sensor Network Handling Diverse Traffic
Muhammad Mostafa Monowar,Md. Obaidur Rahman,Choong Seon Hong(홍충선) 한국정보과학회 2007 한국정보과학회 학술발표논문집 Vol.34 No.2A
Wireless Sensor Network typically incorporates diverse applications within the same network. A sensor node may have multiple sensors i.e. light, temperature, seismic etc with different transmission characteristics. Each application has different characteristics and requirements in terms of transmission rates, bandwidth, packet loss and delay demands may be initiated towards the sink. In this paper we propose Heterogeneous Traffic Oriented Rate Control Protocol (HTRCP) which ensures efficient rate control for diverse applications according to the priority specified by the sink. Moreover, HTRCP ensures the node priority based hop by hop dynamic rate adjustment for high link utilization.
Data Predicted Wakeup Based Duty Cycle MAC for Wireless Sensor Networks
( Muhammad Mostafa Monowar ),( Obaidur Rahman ),( Choong Seon Hong ),( Cho Jin Woong Lee ),( Hyun Seok ) 한국정보처리학회 2009 한국정보처리학회 학술대회논문집 Vol.16 No.2
Presuming energy as a crucial resource, several duty cycle based MAC protocol have been proposed for wireless sensor network. However, these protocols have long latency problem for paying more attention on energy efficiency. In this paper, we propose Data Predicted Wakeup Based Duty Cycle MAC (DPW-MAC) for Wireless Sensor Networks for delay sensitive periodic applications in which timely delivery of data is a major concern with the maintenance of duty cycle.
An Rate Control Protocol for Real Time Traffic in Wireless Sensor Network
모하마드 무스타파 모노워(Muhammad Mostafa Monowar),엠디 오베이둘 라만(Md. Obaidur Rahman),홍충선(Choong Seon Hong) 한국정보과학회 2008 한국정보과학회 학술발표논문집 Vol.35 No.1
Wireless Sensor Network typically incorporates various real time applications that must meet timing constraints under severe resource limitations. Due to the high data rate and burst traffic for that type of applications, occurrence of congestion is very common. Ensuring the end-to-end deadline under congested scenario is quite challenging. In this paper we propose a hop-by-hop rate control algorithm which avoids the congestion as well as ensures that the real time traffic will meet the end-to-end deadline by guaranteeing the meeting of local deadline at intermediate hop. Finally, simulation has demonstrated the effectiveness of our approach.
An Efficient Duty Cycle Based Communication Scheme for Wireless Sensor Network
( Obaidur Rahman ),( Muhammad Mostafa Monowar ),( Cho Jin Woong ),( Lee Jang Yeon ),( Choong Seon Hong ) 한국정보처리학회 2009 한국정보처리학회 학술대회논문집 Vol.16 No.2
Due to the limitation of battery life time, energy is one of the most crucial issues for wireless sensor networks. Thus this paper proposes an energy efficient duty cycle scheme to conserve energy mostly. To handle the large varieties of data (i.e., both low and high traffic load) the proposed duty cycle scheme ensures a fair access period (FAP) and a prioritized access period (PAP). The idea presented in this paper able to reduce the collision probability and energy consumption. Finally simulation outputs have demonstrated the effectiveness of the proposed duty cycle task and showed a noticeable performance in terms of energy usage.
A Lightweight Speaker Recognition System Using Timbre Properties
Abu Quwsar Ohi,M. F. Mridha,Md. Abdul Hamid,Muhammad Mostafa Monowar,Dongsu Lee,Jinsul Kim 한국디지털콘텐츠학회 2020 The Journal of Contents Computing Vol.2 No.1
Speaker recognition is an active research area that contains notable usage in biometric security and authentication system. Currently, there exist many well-performing models in the speaker recognition domain. However, most of the advanced models implement deep learning that requires GPU support for real-time speech recognition, and it is not suitable for low-end devices. In this paper, we propose a lightweight text-independent speaker recognition model based on random forest classifier. It also introduces new features that are used for both speaker verification and identification tasks. The proposed model uses human speech based timbral properties as features that are classified using random forest. Timbre refers to the very basic properties of sound that allow listeners to discriminate among them. The prototype uses seven most actively searched timbre properties, boominess, brightness, depth, hardness, roughness, sharpness, and warmth as features of our speaker recognition model. The experiment is carried out on speaker verification and speaker identification tasks and shows the achievements and drawbacks of the proposed model. In the speaker identification phase, it achieves a maximum accuracy of 78%. On the contrary, in the speaker verification phase, the model maintains an accuracy of 80% having an equal error rate (ERR) of 0.24.
Full Dynamic Transmission Model and Threat Analysis of COVID-19
Abu Quwsar Ohi,M. F. Mridha,Md. Abdul Hamid,Muhammad Mostafa Monowar,Md. Ferdous Mridha,AKM Ashiquzzaman 한국디지털콘텐츠학회 2020 The Journal of Contents Computing Vol.2 No.1
No doubt, the COVID-19 outbreak exemplifies ongoing biothreats to humanity as a whole. This necessitates an emergency response towards its remedy because it is heightened in importance and compressed in the time frame. Consequently, significant research efforts have been noticed to tackle this pressing crisis. In this paper, we endeavor to formulate a mathematical model of the transmission of COVID-19. The dynamics of the disease are illustrated by a compartmental model that involves differential equations. The paper also exhibits a mathematical estimation of the future threats induced by COVID-19 universally, which is computed based on the immediate statistical data. We compute the current transmission rate of COVID-19 to be 0.0462, considering the current fertility and mortality of the world population. From the threat estimation, it is expected that the COVID-19 may eliminate around 30% of the current population by the next three years, and it may obliterate nearly 43% of the current population by the next five years.