Pub Date : 2015-12-10DOI: 10.1109/ICEAC.2015.7352211
A. Mehbodniya, W. Saad, F. Adachi, Rintaro Yoneya, Ismail Güvenç
Designing high-speed, energy-efficient heterogeneous wireless networks has recently emerged as a key research challenge. A novel approach for radio resource management at the base station (BS) level is introduced with the objective of improving the spectral-efficiency, while keeping the energy-efficiency (EE) at an acceptable level. In this paper, a hybrid opportunistic ON/OFF switching (OOFS) and dynamic channel allocation (DCA) mechanism is proposed. The problem is formulated as a non-cooperative game between the BSs who seek to decide on their transmission mode and channel allocation parameters. To solve this game, a two-step algorithm is proposed. At first, a mixed-strategy game is used, so the BSs may decide independently about their power management strategy. In the second step, the BS selects its downlink channel using a fully distributed channel segregation approach. In dense heterogeneous environments, the DCA algorithm shows a significant improvement in terms of BS throughput over OOFS algorithm, while keeping an acceptable EE level comparable to OOFS.
{"title":"Energy-efficient radio resource management for next generation dense HetNet","authors":"A. Mehbodniya, W. Saad, F. Adachi, Rintaro Yoneya, Ismail Güvenç","doi":"10.1109/ICEAC.2015.7352211","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352211","url":null,"abstract":"Designing high-speed, energy-efficient heterogeneous wireless networks has recently emerged as a key research challenge. A novel approach for radio resource management at the base station (BS) level is introduced with the objective of improving the spectral-efficiency, while keeping the energy-efficiency (EE) at an acceptable level. In this paper, a hybrid opportunistic ON/OFF switching (OOFS) and dynamic channel allocation (DCA) mechanism is proposed. The problem is formulated as a non-cooperative game between the BSs who seek to decide on their transmission mode and channel allocation parameters. To solve this game, a two-step algorithm is proposed. At first, a mixed-strategy game is used, so the BSs may decide independently about their power management strategy. In the second step, the BS selects its downlink channel using a fully distributed channel segregation approach. In dense heterogeneous environments, the DCA algorithm shows a significant improvement in terms of BS throughput over OOFS algorithm, while keeping an acceptable EE level comparable to OOFS.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-12-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115513966","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352209
Marwa Ayad, M. Taher, Ashraf M. Salem
Explosive growth of mobile devices usage and the quick increase of the mobile applications are facing many challenges in their resources as low computing power, battery life, limited bandwidth, and storage. Mobile Cloud Computing (MCC) has been introduced to be a potential technology for mobile services and to solve the mobile resources problem by moving the processing and the storage of data out from mobile devices to the cloud. The cloud enables the integration with additional development tool as graphical processing power (GPU) to increase the computational power. This paper presents a novel approach for real time face detection using GPU acceleration. The results of developed Applications demonstrate that the proposed Mobile GPU cloud computing increase both speed and accuracy of facial detection systems.
{"title":"Mobile GPU Cloud Computing with real time application","authors":"Marwa Ayad, M. Taher, Ashraf M. Salem","doi":"10.1109/ICEAC.2015.7352209","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352209","url":null,"abstract":"Explosive growth of mobile devices usage and the quick increase of the mobile applications are facing many challenges in their resources as low computing power, battery life, limited bandwidth, and storage. Mobile Cloud Computing (MCC) has been introduced to be a potential technology for mobile services and to solve the mobile resources problem by moving the processing and the storage of data out from mobile devices to the cloud. The cloud enables the integration with additional development tool as graphical processing power (GPU) to increase the computational power. This paper presents a novel approach for real time face detection using GPU acceleration. The results of developed Applications demonstrate that the proposed Mobile GPU cloud computing increase both speed and accuracy of facial detection systems.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114541329","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352206
Zaghloul Saad Zaghloul, M. Bayoumi
Brain Computer/Machine Interface (BCI/BMI) has a great potential in solving many handicapped people's problems (e.g. restoring missing limb functionality) via neural controlled implants. However, the main problems with BCI implants are: the open wound problems, the implant size and the needed power. This limits the usability of BCI implants for patients. Therefore, a wireless VLSI approach can provide a feasible solution for medically safe and usable implants. Spike Sorting play a major role in power consumption and area within the BCI signal processing stages. Thus, this study provides a survey and an analysis of the Signal Processing and Spike Sorting methods being used or proposed for VLSL wireless BCI Implants, along with a suggested design and a set of recommendations as a step closer to real-life BCI implants.
{"title":"Implementable Spike Sorting techniques for VLSI wireless BCI/BMI implants: A survey","authors":"Zaghloul Saad Zaghloul, M. Bayoumi","doi":"10.1109/ICEAC.2015.7352206","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352206","url":null,"abstract":"Brain Computer/Machine Interface (BCI/BMI) has a great potential in solving many handicapped people's problems (e.g. restoring missing limb functionality) via neural controlled implants. However, the main problems with BCI implants are: the open wound problems, the implant size and the needed power. This limits the usability of BCI implants for patients. Therefore, a wireless VLSI approach can provide a feasible solution for medically safe and usable implants. Spike Sorting play a major role in power consumption and area within the BCI signal processing stages. Thus, this study provides a survey and an analysis of the Signal Processing and Spike Sorting methods being used or proposed for VLSL wireless BCI Implants, along with a suggested design and a set of recommendations as a step closer to real-life BCI implants.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122190465","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352202
A. Rezk, A. Helmy, Y. Ismail
This paper presents a novel power management unit for PV-battery hybrid systems. The proposed unit tracks the PV cells' Maximum Power Point (MPP), distributes the power among dual loads, and handles any surplus or deficit power by a battery. A digital controller has been realized using VHDL, and downloaded on an FPGA to manage a novel single inductor Dual Input Multiple Output DC-DC converter. A prototype has been implemented, tested, and verified under varying light intensities. The experiments have showed that for a sampling time of 5ms, both MPP tracking and dual load regulation can be accomplished within 300ms and 0.1V error.
{"title":"Dual output power management unit for a PV-battery hybrid energy system","authors":"A. Rezk, A. Helmy, Y. Ismail","doi":"10.1109/ICEAC.2015.7352202","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352202","url":null,"abstract":"This paper presents a novel power management unit for PV-battery hybrid systems. The proposed unit tracks the PV cells' Maximum Power Point (MPP), distributes the power among dual loads, and handles any surplus or deficit power by a battery. A digital controller has been realized using VHDL, and downloaded on an FPGA to manage a novel single inductor Dual Input Multiple Output DC-DC converter. A prototype has been implemented, tested, and verified under varying light intensities. The experiments have showed that for a sampling time of 5ms, both MPP tracking and dual load regulation can be accomplished within 300ms and 0.1V error.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129057478","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352162
Mostafa Ibrahim, Ayman Eltaliawy, H. Mostafa, Y. Ismail
Solar energy harvesting captures the greatest attention among the available self-powered systems recently. This paper presents a new control technique based on digital current sensing. The idea is based on sensing the output current through a series resistance, the current sensor is a simple analog circuit, and it generates a pulse of width that is directly proportional to the rate of change of current. A pulse-to-digital converter is designed to convert the input pulse to a thermometer code. The code is then used to control a low supply digital controlled oscillator, it generates a clock that control the charge pump that searches for the maximum power of the solar cell. This design features a hill climbing maximum power search embedded inside the pulse-to-digital converter. A low dropout regulator with resistive ladder is used to control the supply of the oscillator, the oscillator supply is used as control knob for the frequency of the charge pump. The proposed control unit exhibits low power consumption, since it works at lower supplies than the energy buffer. The design can reach a power efficiency of 58.2% up to SmW available photovoltaic power. The measured power consumption is 36.33/iW. The system is designed using Global Foundries (GF 65nm).
{"title":"A new digital current sensing technique suitable for low power energy harvesting systems","authors":"Mostafa Ibrahim, Ayman Eltaliawy, H. Mostafa, Y. Ismail","doi":"10.1109/ICEAC.2015.7352162","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352162","url":null,"abstract":"Solar energy harvesting captures the greatest attention among the available self-powered systems recently. This paper presents a new control technique based on digital current sensing. The idea is based on sensing the output current through a series resistance, the current sensor is a simple analog circuit, and it generates a pulse of width that is directly proportional to the rate of change of current. A pulse-to-digital converter is designed to convert the input pulse to a thermometer code. The code is then used to control a low supply digital controlled oscillator, it generates a clock that control the charge pump that searches for the maximum power of the solar cell. This design features a hill climbing maximum power search embedded inside the pulse-to-digital converter. A low dropout regulator with resistive ladder is used to control the supply of the oscillator, the oscillator supply is used as control knob for the frequency of the charge pump. The proposed control unit exhibits low power consumption, since it works at lower supplies than the energy buffer. The design can reach a power efficiency of 58.2% up to SmW available photovoltaic power. The measured power consumption is 36.33/iW. The system is designed using Global Foundries (GF 65nm).","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123818359","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352195
Hany Ali, Ahmed K. F. Khattab, M. Fikri
Cognitive radio sensor networks (CRSNs) exploit the cognitive radio concept to allow wireless sensor networks to dynamically access the available channels. However, existing channel sensing techniques developed for cognitive radios are not applicable to the energy-constrained sensor nodes. In this paper, we present two energy-efficient cooperation schemes for CRSNs. The proposed schemes use randomized channel sensing, implicit cooperation, and simplified aggregation to reduce the energy consumed in channel sensing. The proposed implicit OR and implicit AND save up to 55% of the energy, reduce the decision taking time by 30.6%-95%, and achieve similar miss-detection performance compared to their explicit counterparts.
{"title":"Energy-efficient cooperative sensing for cognitive wireless sensor networks","authors":"Hany Ali, Ahmed K. F. Khattab, M. Fikri","doi":"10.1109/ICEAC.2015.7352195","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352195","url":null,"abstract":"Cognitive radio sensor networks (CRSNs) exploit the cognitive radio concept to allow wireless sensor networks to dynamically access the available channels. However, existing channel sensing techniques developed for cognitive radios are not applicable to the energy-constrained sensor nodes. In this paper, we present two energy-efficient cooperation schemes for CRSNs. The proposed schemes use randomized channel sensing, implicit cooperation, and simplified aggregation to reduce the energy consumed in channel sensing. The proposed implicit OR and implicit AND save up to 55% of the energy, reduce the decision taking time by 30.6%-95%, and achieve similar miss-detection performance compared to their explicit counterparts.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121363425","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352207
P. Gupta, S. Koolagudi, R. Khanna, M. Ganguli, A. Sankaranarayanan
Typically, complex resource-interdependence and heterogeneous workload patterns can result in sub-optimal job allocation leading to performance loss or under-utilization of compute resources. A well behaved model can anticipate the demand patterns and proactively react to the dynamic stresses in a timely and well optimized manner. For a workload hosting environment, pool of available resources are optimally configured and utilized to sustain certain expectation of Quality-of-Service (QoS) in the presence of power, thermal and reliability constraints. The workload (or job) scheduling mechanism is expected to withstand dynamic variations in demand stresses while maximizing the resource utilization and minimizing the performance loss. Furthermore, workloads can be co-allocated to the clusters with least amount of resource contention. In this paper we introduce the methodology that facilitates the coordinated scheduling of the workloads to the systems with least contentious resources through phase-assisted dynamic characterization. We describe the method to perform optimal job scheduling by using phase model synthesized by learning and classifying the run-time behavior of workloads.
{"title":"Analytic technique for optimal workload scheduling in data-center using phase detection","authors":"P. Gupta, S. Koolagudi, R. Khanna, M. Ganguli, A. Sankaranarayanan","doi":"10.1109/ICEAC.2015.7352207","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352207","url":null,"abstract":"Typically, complex resource-interdependence and heterogeneous workload patterns can result in sub-optimal job allocation leading to performance loss or under-utilization of compute resources. A well behaved model can anticipate the demand patterns and proactively react to the dynamic stresses in a timely and well optimized manner. For a workload hosting environment, pool of available resources are optimally configured and utilized to sustain certain expectation of Quality-of-Service (QoS) in the presence of power, thermal and reliability constraints. The workload (or job) scheduling mechanism is expected to withstand dynamic variations in demand stresses while maximizing the resource utilization and minimizing the performance loss. Furthermore, workloads can be co-allocated to the clusters with least amount of resource contention. In this paper we introduce the methodology that facilitates the coordinated scheduling of the workloads to the systems with least contentious resources through phase-assisted dynamic characterization. We describe the method to perform optimal job scheduling by using phase model synthesized by learning and classifying the run-time behavior of workloads.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133440812","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352204
S. Chamanian, Ö. Zorlu, H. Kulah, A. Muhtaroğlu
This paper presents a fully self-powered interface circuit with a novel peak detector for piezoelectric energy harvesters (PEH). This circuit can be utilized to scavenge energy from low power environmental vibrations in 10s of μW range. Synchronous switching technique is used to extract maximum available power where switching instants are detected independently from excitation changes of the PEH. The proposed peak detector senses voltages higher than power supply for a wide frequency range of input vibration. The simulations with an output voltage range of 1 to 3.3 V show power conversion efficiency between 79% and 88% for an input power of 13.2 μW.
{"title":"An adaptive piezoelectric energy harvesting interface circuit with a novel peak detector","authors":"S. Chamanian, Ö. Zorlu, H. Kulah, A. Muhtaroğlu","doi":"10.1109/ICEAC.2015.7352204","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352204","url":null,"abstract":"This paper presents a fully self-powered interface circuit with a novel peak detector for piezoelectric energy harvesters (PEH). This circuit can be utilized to scavenge energy from low power environmental vibrations in 10s of μW range. Synchronous switching technique is used to extract maximum available power where switching instants are detected independently from excitation changes of the PEH. The proposed peak detector senses voltages higher than power supply for a wide frequency range of input vibration. The simulations with an output voltage range of 1 to 3.3 V show power conversion efficiency between 79% and 88% for an input power of 13.2 μW.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123064058","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352165
Edip Demirbilek, Jean-Charles Grégoire, Ahmad Vakili, L. Reyero
We evaluated the power consumption of an industry-grade IMS/RCS application that periodically updates and retrieves the availability status as well as inbox query task to/from the server over Wi-Fi interface. Our aim was to find out the amount of additional energy consumed for each unique tasks. We modelled the battery usage of always-on features and identified each feature's contribution to the whole consumption. While presenting the work we also paid attention to the process we went through and provided a methodology for similar future work.
{"title":"Modelling and improving the battery performance of a mobile phone application: A methodology","authors":"Edip Demirbilek, Jean-Charles Grégoire, Ahmad Vakili, L. Reyero","doi":"10.1109/ICEAC.2015.7352165","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352165","url":null,"abstract":"We evaluated the power consumption of an industry-grade IMS/RCS application that periodically updates and retrieves the availability status as well as inbox query task to/from the server over Wi-Fi interface. Our aim was to find out the amount of additional energy consumed for each unique tasks. We modelled the battery usage of always-on features and identified each feature's contribution to the whole consumption. While presenting the work we also paid attention to the process we went through and provided a methodology for similar future work.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129970395","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 : 2015-03-24DOI: 10.1109/ICEAC.2015.7352210
Jaafar K. Al-Frajat, W. N. Flayyih, R. Sidek, K. Samsudin, F. Rokhani
High cost of qualifying library standard cells on silicon wafer limits the number of test circuits on the test chip. This paper proposes a technique to share common load circuits among test circuits to reduce the silicon area. By enabling the load sharing, number of transistors for the common load can be reduced significantly. Results show up to 80% reduction in silicon area due to load area reduction.
{"title":"Area efficient test circuit for library standard cell qualification","authors":"Jaafar K. Al-Frajat, W. N. Flayyih, R. Sidek, K. Samsudin, F. Rokhani","doi":"10.1109/ICEAC.2015.7352210","DOIUrl":"https://doi.org/10.1109/ICEAC.2015.7352210","url":null,"abstract":"High cost of qualifying library standard cells on silicon wafer limits the number of test circuits on the test chip. This paper proposes a technique to share common load circuits among test circuits to reduce the silicon area. By enabling the load sharing, number of transistors for the common load can be reduced significantly. Results show up to 80% reduction in silicon area due to load area reduction.","PeriodicalId":334594,"journal":{"name":"5th International Conference on Energy Aware Computing Systems & Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129496830","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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