Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551324
Omer Sajid
Switched Reluctance Motor is a stepper motor that runs by reluctance torque. Power is delivered to winding of stator. It is used in bi-directional control, self-starting and high speed applications. It has simple structure, inexpensive manufacturing, high reliability and high efficiency. It does not require maintenance because it is a brushless motor. The windings are present only on stator. Therefore, it is easy to cool down. To meet desired speed, torque ripples are required to be reduced because torque and speed are inversely proportional to each other. Proportional Integrator and Fuzzy logic are implemented in this research to improve performance of switched reluctance motor. MATLAB/ Simulink are used to carry out simulation analysis of switched reluctance motor using proportional integrator and Fuzzy logic controllers.
{"title":"Performance Analysis of Switched Reluctance Motor for 24/7 Working Environment","authors":"Omer Sajid","doi":"10.1109/HONET.2018.8551324","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551324","url":null,"abstract":"Switched Reluctance Motor is a stepper motor that runs by reluctance torque. Power is delivered to winding of stator. It is used in bi-directional control, self-starting and high speed applications. It has simple structure, inexpensive manufacturing, high reliability and high efficiency. It does not require maintenance because it is a brushless motor. The windings are present only on stator. Therefore, it is easy to cool down. To meet desired speed, torque ripples are required to be reduced because torque and speed are inversely proportional to each other. Proportional Integrator and Fuzzy logic are implemented in this research to improve performance of switched reluctance motor. MATLAB/ Simulink are used to carry out simulation analysis of switched reluctance motor using proportional integrator and Fuzzy logic controllers.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127435186","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551338
Sadaf Nadeem, Tuba Riasat, Javaria Abid, R. Osama
In this era of technology, as technology is making progress day by day, Information and Communication Technologies (ICTs) is playing a vital role in improving healthcare by providing new and efficient solutions as people are trying to solve complex problems with simplified and human friendly frameworks. One of the most complex creations of God in which science is always interested is the complex structure and working of brain which is the control unit of the whole body. Scientists have done a lot of work in describing the working and different behaviors of the brain by doing physical experiments but now the directions of their aims are diverting to the third branch of science i.e. simulating the brain. The aim of our research like other neuro-researchers is to model and simulate the brain from a different point of view to understand its behavior. Our work will contribute to give a new dimension to simulate the building blocks of brain system i.e. neurons and their interaction with each other with respect to its constituents to develop more understanding in a natural manner.
{"title":"Neuron Simulation; Simulating Neuron through Agent Based Modeling","authors":"Sadaf Nadeem, Tuba Riasat, Javaria Abid, R. Osama","doi":"10.1109/HONET.2018.8551338","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551338","url":null,"abstract":"In this era of technology, as technology is making progress day by day, Information and Communication Technologies (ICTs) is playing a vital role in improving healthcare by providing new and efficient solutions as people are trying to solve complex problems with simplified and human friendly frameworks. One of the most complex creations of God in which science is always interested is the complex structure and working of brain which is the control unit of the whole body. Scientists have done a lot of work in describing the working and different behaviors of the brain by doing physical experiments but now the directions of their aims are diverting to the third branch of science i.e. simulating the brain. The aim of our research like other neuro-researchers is to model and simulate the brain from a different point of view to understand its behavior. Our work will contribute to give a new dimension to simulate the building blocks of brain system i.e. neurons and their interaction with each other with respect to its constituents to develop more understanding in a natural manner.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115840972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551341
Uferah Shafi, R. Mumtaz, Hirra Anwar, A. M. Qamar, Hamza Khurshid
Water is one of the primary requisites and crucial for sustaining the quality of life. In Pakistan its significance is more than ordinary due to the agrarian nature of the economy. Owing to increasing trend in urbanization and industrialization, the quality of water is continuously declining. For this purpose, we propose an Internet of Things (IoT) based water quality system capable of measuring the quality of water in near real time. The proposed solution is based on World Health Organization (WHO) defined water quality metrics. For this purpose, a real time embedded prototype has been developed to record the water quality parameters from the water samples collected from various sources across the study area. The hardware solution sends data to cloud for real time storage and processing. The processed data can be remotely monitored and water flow can be controlled using our developed software solution comprising of mobile app and a dashboard. In addition to water quality monitoring and control system, the predictive analysis of the collected data has been performed. For training purposes a dataset has been obtained from Pakistan Council of Research in Water Resources (PCRWR). Machine learning algorithms have been applied for classification of water quality and the experimental results indicate that deep neural network outperforms all other algorithms with an accuracy of 93%. The preliminary results have shown a high potential of scaling up this concept to an advanced level.
{"title":"Surface Water Pollution Detection using Internet of Things","authors":"Uferah Shafi, R. Mumtaz, Hirra Anwar, A. M. Qamar, Hamza Khurshid","doi":"10.1109/HONET.2018.8551341","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551341","url":null,"abstract":"Water is one of the primary requisites and crucial for sustaining the quality of life. In Pakistan its significance is more than ordinary due to the agrarian nature of the economy. Owing to increasing trend in urbanization and industrialization, the quality of water is continuously declining. For this purpose, we propose an Internet of Things (IoT) based water quality system capable of measuring the quality of water in near real time. The proposed solution is based on World Health Organization (WHO) defined water quality metrics. For this purpose, a real time embedded prototype has been developed to record the water quality parameters from the water samples collected from various sources across the study area. The hardware solution sends data to cloud for real time storage and processing. The processed data can be remotely monitored and water flow can be controlled using our developed software solution comprising of mobile app and a dashboard. In addition to water quality monitoring and control system, the predictive analysis of the collected data has been performed. For training purposes a dataset has been obtained from Pakistan Council of Research in Water Resources (PCRWR). Machine learning algorithms have been applied for classification of water quality and the experimental results indicate that deep neural network outperforms all other algorithms with an accuracy of 93%. The preliminary results have shown a high potential of scaling up this concept to an advanced level.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"79 10","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132535644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551330
A. Khan
Vehicular Ad Hoc Network (VANET) is a new class of wireless technologies that integrates ad hoc network, wireless local area network and mobile technologies to achieve intelligent transportation system and improve road traffic safety. But there are numerous challenges to deal with. VANET has large-scale size, hybrid network architecture, frequent connection breaks, swift topology changes, characteristics of node movements, and new application platforms. Therefore, developing highly efficient and real time unicast routing protocols for VANETs is a difficult task. In this paper, we study and analyze some state-of-the-art unicast routing protocols developed to achieve efficiency in real-time scenario and describe their advantages and disadvantages. We further make some recommendations for potential improvements in terms of delay, throughput and overall efficiency.
车载自组网(Vehicular Ad Hoc Network, VANET)是一种集自组网、无线局域网和移动技术于一体的新型无线技术，旨在实现智能交通系统，提高道路交通安全。但还有许多挑战需要应对。VANET具有规模大、网络架构混合、连接中断频繁、拓扑变化迅速、节点移动等特点，具有新的应用平台。因此，开发高效、实时的vanet单播路由协议是一项艰巨的任务。在本文中，我们研究和分析了一些最新的单播路由协议，以实现实时场景下的效率，并描述了它们的优点和缺点。我们进一步就延迟、吞吐量和整体效率方面的潜在改进提出了一些建议。
{"title":"Real time and Efficient Unicast Routing Protocols for Vehicular Ad Hoc Network: A Survey and Recommendations for efficiency enhancement","authors":"A. Khan","doi":"10.1109/HONET.2018.8551330","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551330","url":null,"abstract":"Vehicular Ad Hoc Network (VANET) is a new class of wireless technologies that integrates ad hoc network, wireless local area network and mobile technologies to achieve intelligent transportation system and improve road traffic safety. But there are numerous challenges to deal with. VANET has large-scale size, hybrid network architecture, frequent connection breaks, swift topology changes, characteristics of node movements, and new application platforms. Therefore, developing highly efficient and real time unicast routing protocols for VANETs is a difficult task. In this paper, we study and analyze some state-of-the-art unicast routing protocols developed to achieve efficiency in real-time scenario and describe their advantages and disadvantages. We further make some recommendations for potential improvements in terms of delay, throughput and overall efficiency.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"530 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124507386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551480
Qurat-ul-Ain, O. Hasan, K. Saghar
These days, internet of things (IoT) are being widely used in many safety-critical domains, like healthcare and transportation. Thus, their functional correctness is very important. However, simulation based analysis is based on sampling methods and thus their results are not complete and cannot be termed as accurate. Formal verification has been recently proposed to verify the digital components of IoT devices and thus overcome the incompleteness issues of simulation. However, formal verification process requires manual development of a formal model of the given circuit and its desired properties. Moreover, the verification of the relationship between the formally specified model and its properties sometimes also requires manual interventions. These manual efforts can be quite cumbersome while verifying large systems and thus make formal verification of IoT devices somewhat infeasible for industrial usage. To overcome these limitations, we present a tool chain to automatically formally verify digital components of IoT devices, which are usually expressed in the Verilog language. The proposed methodology primarily leverages upon the strong verification support for the C language. The idea is to convert the given Verilog code and its properties to C language and use bounded model checking to verify the obtained C code. The formally verified C code is then converted back to Verilog to facilitate circuit design steps i.e., synthesis, timing analysis etc., and thus continue with the regular digital system design flow. For illustration, we present the verification of several widely used components of IoT devices, including an ALU and a 64-bit processor, which are fairly complex and to the best of our knowledge have never been formally verified automatically before.
{"title":"Automatic Formal Verification of Digital Components of IoTs Using CBMC","authors":"Qurat-ul-Ain, O. Hasan, K. Saghar","doi":"10.1109/HONET.2018.8551480","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551480","url":null,"abstract":"These days, internet of things (IoT) are being widely used in many safety-critical domains, like healthcare and transportation. Thus, their functional correctness is very important. However, simulation based analysis is based on sampling methods and thus their results are not complete and cannot be termed as accurate. Formal verification has been recently proposed to verify the digital components of IoT devices and thus overcome the incompleteness issues of simulation. However, formal verification process requires manual development of a formal model of the given circuit and its desired properties. Moreover, the verification of the relationship between the formally specified model and its properties sometimes also requires manual interventions. These manual efforts can be quite cumbersome while verifying large systems and thus make formal verification of IoT devices somewhat infeasible for industrial usage. To overcome these limitations, we present a tool chain to automatically formally verify digital components of IoT devices, which are usually expressed in the Verilog language. The proposed methodology primarily leverages upon the strong verification support for the C language. The idea is to convert the given Verilog code and its properties to C language and use bounded model checking to verify the obtained C code. The formally verified C code is then converted back to Verilog to facilitate circuit design steps i.e., synthesis, timing analysis etc., and thus continue with the regular digital system design flow. For illustration, we present the verification of several widely used components of IoT devices, including an ALU and a 64-bit processor, which are fairly complex and to the best of our knowledge have never been formally verified automatically before.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132044728","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551336
I. Rehman, Moustafa M. Nasralla, Ajaz Ali, N. Philip
It is believed that small cells will play a significant role in future networks (e.g., 5G) to meet the high user requirements in traffic volume, frequency efficiency, and energy and cost reduction. The small cell network is a new paradigm for the successful deployment of mobile healthcare (m-health) applications. It can enhance the medical Quality of Service (m-QoS) and medical Quality of Experience (m-QoE) for indoor, outdoor, and vehicular m-health end-users (e.g., patients and healthcare professionals). The three major contributions of the paper are: 1) the investigation of the impact of small cell heterogeneous networks for medical video streaming as an example of m-health application in the uplink direction. 2) introducing an important m-health use case (i.e., an ambulance scenario) along with its system model and technical requirements, and 3) the provision of a network performance analysis for medical video sequences affected by packet losses and different networks as a benchmark to enable researchers to test their medical video quality evaluation algorithms. The results of our proposed scenario show through simulation that the m-QoS key performance indicators (e.g., packet loss, throughput, and delay) in a mobile small cell-based ambulance scenario outperform the traditional macrocell network scenario. Hence, improving the network performance of the paramedic staff inside the ambulance can facilitate in robust delivery of emergency m-health services, such as real-time remote consultations and diagnosis.
{"title":"Small Cell-based Ambulance Scenario for Medical Video Streaming: A 5G-health use case","authors":"I. Rehman, Moustafa M. Nasralla, Ajaz Ali, N. Philip","doi":"10.1109/HONET.2018.8551336","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551336","url":null,"abstract":"It is believed that small cells will play a significant role in future networks (e.g., 5G) to meet the high user requirements in traffic volume, frequency efficiency, and energy and cost reduction. The small cell network is a new paradigm for the successful deployment of mobile healthcare (m-health) applications. It can enhance the medical Quality of Service (m-QoS) and medical Quality of Experience (m-QoE) for indoor, outdoor, and vehicular m-health end-users (e.g., patients and healthcare professionals). The three major contributions of the paper are: 1) the investigation of the impact of small cell heterogeneous networks for medical video streaming as an example of m-health application in the uplink direction. 2) introducing an important m-health use case (i.e., an ambulance scenario) along with its system model and technical requirements, and 3) the provision of a network performance analysis for medical video sequences affected by packet losses and different networks as a benchmark to enable researchers to test their medical video quality evaluation algorithms. The results of our proposed scenario show through simulation that the m-QoS key performance indicators (e.g., packet loss, throughput, and delay) in a mobile small cell-based ambulance scenario outperform the traditional macrocell network scenario. Hence, improving the network performance of the paramedic staff inside the ambulance can facilitate in robust delivery of emergency m-health services, such as real-time remote consultations and diagnosis.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131902676","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A Wireless Sensor Network (WSN) is a network that uses sensors to monitor environmental or physical conditions on different distributed devices. In many applications of wireless sensor network, due to the high volume of traffic, probability of congestion and packet loss increases. Congestion in sensor networks has a direct effect on energy efficiency and quality of service applications. Congestion may cause a buffer overflow, longer queuing time and higher packet loss. Packet loss not only reduces the reliability and quality of service application but also wastes energy. In this paper, a scheme for controlling congestion in wireless sensor network is proposed. The aim of the proposed method is to reduce congestion by considering the priority of data. In the proposed algorithm, according to the data priority, the packets will be classified. According to type of packet, traffic is redirected to control congestion in the network. Finally, the proposed algorithm is simulated and the result shows that the proposed algorithm improves the number of packet loss, energy consumption and average buffer size rather than the similar algorithm.
{"title":"Congestion-Aware Routing Algorithm Based on Traffic Priority in Wireless Sensor Networks","authors":"Muhammad Uzair Ghazi, Syed Shahbaz Haider Naqvi, Kamran Yamin, Osama Humayun","doi":"10.1109/HONET.2018.8551337","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551337","url":null,"abstract":"A Wireless Sensor Network (WSN) is a network that uses sensors to monitor environmental or physical conditions on different distributed devices. In many applications of wireless sensor network, due to the high volume of traffic, probability of congestion and packet loss increases. Congestion in sensor networks has a direct effect on energy efficiency and quality of service applications. Congestion may cause a buffer overflow, longer queuing time and higher packet loss. Packet loss not only reduces the reliability and quality of service application but also wastes energy. In this paper, a scheme for controlling congestion in wireless sensor network is proposed. The aim of the proposed method is to reduce congestion by considering the priority of data. In the proposed algorithm, according to the data priority, the packets will be classified. According to type of packet, traffic is redirected to control congestion in the network. Finally, the proposed algorithm is simulated and the result shows that the proposed algorithm improves the number of packet loss, energy consumption and average buffer size rather than the similar algorithm.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128048259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551327
M. Iqbal, Sana T Khan
Graphene (Gr) and transition metal dichalcogenides (TMDC) have wide scope in electronic and optoelectronic industry because of incredible optical and electrical properties. The study investigates the utilization of molybdenum disulfide-graphene (MoS2-Gr) hybrid field effect transistor (FET) as photosensor. The photo-current response of hybrid FET was studied for source-drain voltages(Vds) range from 1 to 5 V. The important optical figure of merits such as photoresponsivity (Rλ) and external quantum efficiency (EQE) are calculated to evaluate the performance of FET. Enhancement in the optical performance of FET is observed. MoS2-Gr divulges high Rλ (3.34 × 103 AW-1) while the EQE of hybrid FET (1.8 × 104) is higher than that of individual structures. This methodology of fabricating TMDCs-Gr based hybrid devices opens new doors for advances in highly efficient photosensor for sensing and optoelectronic applications.
{"title":"Two Dimensional Materials based Heterostructures for Photosensing Applications","authors":"M. Iqbal, Sana T Khan","doi":"10.1109/HONET.2018.8551327","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551327","url":null,"abstract":"Graphene (Gr) and transition metal dichalcogenides (TMDC) have wide scope in electronic and optoelectronic industry because of incredible optical and electrical properties. The study investigates the utilization of molybdenum disulfide-graphene (MoS<inf>2</inf>-Gr) hybrid field effect transistor (FET) as photosensor. The photo-current response of hybrid FET was studied for source-drain voltages(V<inf>ds</inf>) range from 1 to 5 V. The important optical figure of merits such as photoresponsivity (R<inf>λ</inf>) and external quantum efficiency (EQE) are calculated to evaluate the performance of FET. Enhancement in the optical performance of FET is observed. MoS<inf>2</inf>-Gr divulges high R<inf>λ</inf> (3.34 × 10<sup>3</sup> AW<sup>-1</sup>) while the EQE of hybrid FET (1.8 × 10<sup>4</sup>) is higher than that of individual structures. This methodology of fabricating TMDCs-Gr based hybrid devices opens new doors for advances in highly efficient photosensor for sensing and optoelectronic applications.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121971261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551332
Junaid Akram, Dr.Zeeshan Najam, Haider Rizwi
Wireless Sensor Networks consist of many sensing devices which are distributed inside of a given area. Each sensor node consists of multiple heterogeneous components such as power supply, CPU, memory, and a transceiver. Since the location of sensors is needed in most of the WSNs, Trilateration-based localization (TBL) has been used to locate the sensors in the network. This study formulates the concern on how wireless sensor networks can take advantage of the computational intelligent techniques using both single and multi-objective particle swarm optimization (PSO) with an overall aim of concurrently minimizing the required time for localization, minimizing energy consumed during localization, and maximizing the number of nodes fully localized through the adjustment of wireless sensor transmission ranges while using TBL process. A parameter-study of the applied PSO variants is performed, leading to results that show algorithmic improvements of up to 21% in the evaluated objectives.
{"title":"Energy Efficient Localization in Wireless Sensor Networks Using Computational Intelligence","authors":"Junaid Akram, Dr.Zeeshan Najam, Haider Rizwi","doi":"10.1109/HONET.2018.8551332","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551332","url":null,"abstract":"Wireless Sensor Networks consist of many sensing devices which are distributed inside of a given area. Each sensor node consists of multiple heterogeneous components such as power supply, CPU, memory, and a transceiver. Since the location of sensors is needed in most of the WSNs, Trilateration-based localization (TBL) has been used to locate the sensors in the network. This study formulates the concern on how wireless sensor networks can take advantage of the computational intelligent techniques using both single and multi-objective particle swarm optimization (PSO) with an overall aim of concurrently minimizing the required time for localization, minimizing energy consumed during localization, and maximizing the number of nodes fully localized through the adjustment of wireless sensor transmission ranges while using TBL process. A parameter-study of the applied PSO variants is performed, leading to results that show algorithmic improvements of up to 21% in the evaluated objectives.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"26 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124310133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/HONET.2018.8551473
Seema Mir Akbar, Ammar Hasan
Smart grid has emerged as a solution to provide clean, reliable and efficient energy. Renewable energy resources, AC grid, load centers and distributed storage are the main components of a smart grid. High voltage DC (HVDC) transmission is emerging as an efficient system to connect these components to the smart grids as compared to high voltage AC (HVAC) due to less cost of transmission lines and low losses. High voltage AC/DC, DC/AC and DC/DC converters are the main constituents of the HVDC system to interconnect with the power generating systems, AC grid and load centers. Modular multilevel converter (MMC) possess features such as modular structure, scalability, reliability, fault tolerance and high step up/down ratios, which makes it an important topology for HVDC. Extensive research has been carried out on MMCs which has resulted in innovative circuit configurations of converters, novel modulation techniques and efficient control algorithms. This paper presents a review of different configurations of high voltage DC/DC MMCs, its operation and features. It also discusses the modulation and control techniques designed for DC/DC MMCs.
{"title":"Review of High Voltage DC/DC Modular Multilevel Converters","authors":"Seema Mir Akbar, Ammar Hasan","doi":"10.1109/HONET.2018.8551473","DOIUrl":"https://doi.org/10.1109/HONET.2018.8551473","url":null,"abstract":"Smart grid has emerged as a solution to provide clean, reliable and efficient energy. Renewable energy resources, AC grid, load centers and distributed storage are the main components of a smart grid. High voltage DC (HVDC) transmission is emerging as an efficient system to connect these components to the smart grids as compared to high voltage AC (HVAC) due to less cost of transmission lines and low losses. High voltage AC/DC, DC/AC and DC/DC converters are the main constituents of the HVDC system to interconnect with the power generating systems, AC grid and load centers. Modular multilevel converter (MMC) possess features such as modular structure, scalability, reliability, fault tolerance and high step up/down ratios, which makes it an important topology for HVDC. Extensive research has been carried out on MMCs which has resulted in innovative circuit configurations of converters, novel modulation techniques and efficient control algorithms. This paper presents a review of different configurations of high voltage DC/DC MMCs, its operation and features. It also discusses the modulation and control techniques designed for DC/DC MMCs.","PeriodicalId":161800,"journal":{"name":"2018 15th International Conference on Smart Cities: Improving Quality of Life Using ICT & IoT (HONET-ICT)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126345278","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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