The Experts below are selected from a list of 11265 Experts worldwide ranked by ideXlab platform
Ilangko Balasingham - One of the best experts on this subject based on the ideXlab platform.
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Periodic-MAC: Improving MAC Protocols for Wireless Biomedical Sensor Networks through Implicit Synchronization
Biomedical Engineering Trends in Electronics Communications and Software, 2011Co-Authors: Stig Støa, Ilangko BalasinghamAbstract:Wired Biomedical Sensors have facilitated increasingly advanced clinical decisions support systems in specialized medical settings over the last decades. Reliable hemodynamic monitoring of cardiac and pulmonary function is mandatory for individual tailoring of treatment of critically ill patients. Sensors provide the hemodynamic parameters that reveal impending clinical problems, and initiate caregiver intervention. Biomedical Sensor technologies include invasive or non-invasive Sensors for intermittent or continuous monitoring of vital physiological parameters used in hemodynamic treatment at point-of-care. A hemodynamic Sensor portfolio thus involves multiple Sensors either attached to the patient, or embedded in Biomedical devices used for treatment. The criticality of such systems is evident, as they are used for direct life support in a setting where quality, stability and continuity of real-time data is vital (Oyri et al., 2010). For the last few decades, Biomedical Sensors and patient monitors used in hemodynamic monitoring have been based on wired solutions. However, a digital revolution is now taking place in healthcare. Medical profiles for wireless standards, such as Bluetooth or ZigBee standards, have currently been developed and adopted by the Continua Health Alliance (Caroll et al., 2007). In the standardization bodies IEEE, ISO and CEN TC 251, improvement of care by reuse of medical device data has been addressed for many years; In particular the IEEE 1073 Standard for Medical Device Connection. A consortium of Scandinavian research institutions, technology startup companies, Sensor producers, and a hospital based test facility collaborated to develop a portfolio of multiple experimental wireless Sensor prototypes for a platform compliant with the X73 PoC-MDC (ISO11073/IEEE1073)(Galarraga et al., 2006) medical device communication outline (Oyri et al., 2010). Other research groups have evaluated implementations of wireless clinical alerts from pager systems (Major et al., 2002 and Reddy et al., 2005). Yao and Warren investigated how to apply the ISO/IEEE 11073 Standards to wearable home health monitoring systems (Yao & Warren., 2005). There is a demand for a point of care clinical decision support systems providing real time processing of 26
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new qos and geographical routing in wireless Biomedical Sensor networks
Broadband Communications Networks and Systems, 2009Co-Authors: Djamel Djenouri, Ilangko BalasinghamAbstract:In this paper we deal with Biomedical applications of wireless Sensor networks, and propose a new quality of service (QoS) routing protocol. The protocol design relies on traffic diversity of these applications and ensures a differentiation routing using QoS metrics. It is based on modular and scalable approach, where the protocol operates in a distributed, localized, computation and memory efficient way. The data traffic is classified into several categories according to the required QoS metrics, where different routing metrics and techniques are accordingly suggested for each category. The protocol attempts for each packet to fulfill the required QoS metrics in a power-aware way, by locally selecting the best candidate. It employs memory and computation efficient estimators, and uses a multi-sink single-path approach to increase reliability. The main contribution of this paper is data traffic based QoS with regard to all the considered QoS metrics. To our best knowledge, this protocol is the first that makes use of the diversity in the data traffic while considering latency, reliability residual energy in the Sensor nodes, and transmission power between Sensor nodes as QoS metrics of the multi-objective problem. The proposed algorithm can operate with any MAC protocol, provided that it employs an ACK mechanism. Performance evaluation through a simulation study, comparing the new protocol with state-of-the QoS and localized protocols, show that it outperforms all the compared protocols.
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A reinforcement learning based routing protocol with QoS support for Biomedical Sensor networks
2008 First International Symposium on Applied Sciences on Biomedical and Communication Technologies, 2008Co-Authors: Xuedong Liang, Ilangko Balasingham, Sang-seon ByunAbstract:Biomedical Sensor networks have been widely used in medical applications, where data packets usually contain vital sign information and the network used for communications should guarantee that these packets can be delivered to the medical center reliably and efficiently. In other words, a set of requirements for quality of services (QoS) must be satisfied. In this paper, RL-QRP, a reinforcement learning based routing protocol with QoS-support is proposed for Biomedical Sensor networks. In RL-QRP, optimal routing policies can be found through experiences and rewards without the need of maintaining precise network state information. Simulation results show that RL-QRP performs well in terms of a number of QoS metrics and energy efficiency in various medical scenarios. By investigating the impacts of network traffic load and Sensor node mobility on the network performance, RL-QRP has been proved to fit well in dynamic environments.
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A QoS-aware Routing Service Framework for Biomedical Sensor Networks
2007 4th International Symposium on Wireless Communication Systems, 2007Co-Authors: Xuedong Liang, Ilangko BalasinghamAbstract:Biomedical Sensor networks have been widely used in medical scenarios. Examples include patient monitoring, elderly assistance and disaster response. In medical applications, where data packets usually contain vital sign information and the network used for communications should guarantee that these packets can be delivered to the medical center within a given time and a certain packet delivery ratio. In other words, a set of quality of services (QoS) must be satisfied. In this paper, a cross-layer designed QoS-aware routing service framework is proposed. The main goal of the framework is to provide prioritized routing service and user specific QoS support. Routes are determined by user specific QoS metrics, wireless channel status, packet priority level, and Sensor node's willingness to be a router. Furthermore, the routing service can send feedback on network conditions to the user application, so the medical application service level can be adjusted to obtain the highest adaptability and robustness. Simulation results have shown that the routing service framework performs well in respects of QoS metrics and energy efficiency in various medical scenarios. The routing service can provide guaranteed QoS for users of high priority level and acceptable network performances for 'best effort' required users.
Yang Xiao - One of the best experts on this subject based on the ideXlab platform.
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ltrt least total route temperature routing for embedded Biomedical Sensor networks
Global Communications Conference, 2007Co-Authors: Daisuke Takahashi, Yang XiaoAbstract:In this paper, we propose Least Total-Route- Temperature (LTRT), a thermal aware routing algorithm, to reduce temperature caused by Biomedical Sensors implanted in human bodies. In the proposed scheme, nodes' temperatures are converted into graph weights and minimum temperature routes are obtained. Simulations are conducted to show the advantages of the proposed scheme when comparing with three other related schemes.
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Temperature-aware routing for telemedicine applications in embedded Biomedical Sensor networks
EURASIP Journal on Wireless Communications and Networking, 2007Co-Authors: Daisuke Takahashi, Yang Xiao, Jiming Chen, Youxian SunAbstract:Biomedical Sensors, called invivo Sensors, are implanted in human bodies, and cause some harmful effects on surrounding body tissues. Particularly, temperature rise of the invivo Sensors is dangerous for surrounding tissues, and a high temperature may damage them from a long term monitoring. In this paper, we propose a thermal-aware routing algorithm, called least total-route-temperature (LTRT) protocol, in which nodes temperatures are converted into graph weights, and minimum temperature routes are obtained. Furthermore, we provide an extensive simulation evaluation for comparing several other related schemes. Simulation results show the advantages of the proposed scheme.
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GLOBECOM - LTRT: Least Total-Route Temperature Routing for Embedded Biomedical Sensor Networks
IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference, 2007Co-Authors: Daisuke Takahashi, Yang XiaoAbstract:In this paper, we propose Least Total-Route- Temperature (LTRT), a thermal aware routing algorithm, to reduce temperature caused by Biomedical Sensors implanted in human bodies. In the proposed scheme, nodes' temperatures are converted into graph weights and minimum temperature routes are obtained. Simulations are conducted to show the advantages of the proposed scheme when comparing with three other related schemes.
Mostafa A Bassiouni - One of the best experts on this subject based on the ideXlab platform.
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Biocomm-a cross-layer medium access control (MAC) and routing protocol co-design for Biomedical Sensor networks
International Journal of Parallel Emergent and Distributed Systems, 2009Co-Authors: Anirban Bag, Mostafa A BassiouniAbstract:One of the most novel applications of wireless Sensor networks in recent years has been in the field of Biomedical research. Biomedical Sensor networks are formed by tiny wireless Sensor nodes, embedded inside the body. The communication protocol used in such networks must prevent the formation of hotspots in the network and at the same time route data efficiently, while conserving energy. In this paper we propose a cross-layer medium access control (MAC) protocol and routing protocol co-design for Biomedical Sensor networks. The cross-layer interactions among the network and MAC layers help optimise the overall performance of the in vivo network. Extensive simulations have been done to show that the proposed Biocomm protocol performs much better than the other existing MAC and routing protocols in terms of preventing the formation of hotspots, reducing energy consumption of nodes and preventing network congestion when used in an in vivo network. A variation of Biocomm, Biocomm-D has been proposed for delay-sensitive Biomedical Sensor network applications.
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hotspot preventing routing algorithm for delay sensitive applications of in vivo Biomedical Sensor networks
Information Fusion, 2008Co-Authors: Anirban Bag, Mostafa A BassiouniAbstract:Networks of implanted Biomedical Sensor nodes promise to give a new direction to medical research. The in vivo Sensor nodes collect desired biometric data and communicate the data wirelessly to a base-station through a multi-hop network. The wireless communication produces heat, leading to a rise in the temperature of the nodes. A high temperature of the in vivo nodes for a prolonged period is not desired as it might damage the surrounding tissues. Medical applications are also often delay-sensitive. In this paper, we propose Hotspot Preventing Routing (HPR) algorithm that performs much better than the shortest hop routing algorithm and the previously proposed Thermal Aware Routing Algorithm (TARA) in terms of preventing the formation of hotspots and reducing the average packet delivery delay by dynamically adapting to the network load. The simulation results presented also show that the HPR algorithm is highly scalable, increases the operational life of the network and helps reduce the number of packets dropped.
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Routing algorithm for network of homogeneous and id-less Biomedical Sensor nodes (RAIN)
2008 IEEE Sensors Applications Symposium, 2008Co-Authors: Arnab Bag, Mostafa A BassiouniAbstract:Rapid development in microelectronics and MEMS technology in recent years, have led to a wide-scale application of Sensor networks. Since the tiny wireless nodes will be deployed in thousands in near future, it will not be possible to provide each of them with unique hardware identifiers. Existing routing algorithms for Sensor networks, which assume that all the nodes in the network can be uniquely identified, will not be suitable for being used in such networks of id-less Sensors. In this paper we consider a Biomedical application of such id-less Sensor nodes and propose a routing algorithm (RAIN), that can be used in an in-vivo network of homogeneous and id-less Biomedical Sensor nodes. Simulation results show that RAIN performs much better than C-FLOOD, a controlled flooding algorithm in terms of reducing the average temperature rise and average energy consumption of the nodes.
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energy efficient thermal aware routing algorithms for embedded Biomedical Sensor networks
Mobile Adhoc and Sensor Systems, 2006Co-Authors: Mostafa A BassiouniAbstract:One of the major applications of Sensor networks in near future will be in the area of Biomedical research. Implanted bioSensor nodes are already being used for various medical applications. These in-vivo Sensor networks collect different biometric data and communicate the data to the base station wirelessly. These Sensor networks produce heat, as the nodes have to communicate among themselves wirelessly. The rise in temperature of the nodes due to communication should not be very high. A high temperature of the in-vivo nodes for a prolonged period might damage the surrounding tissues. In this paper, we propose a new routing algorithm that reduces the amount of heat produced in the network. In the simple form, the algorithm routes packets to the coolest neighbor without inducing routing loops. In the adaptive form, the algorithm uses mechanisms to adapt to topologies with low degree of connectivity and to switch to shortest path routing if a time threshold is exceeded. The proposed algorithm performs much better in terms of reducing the amount of heat produced, delay and power consumption compared to the shortest hop routing algorithm and a previously proposed Thermal Aware Routing Algorithm (TARA).
Daisuke Takahashi - One of the best experts on this subject based on the ideXlab platform.
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ltrt least total route temperature routing for embedded Biomedical Sensor networks
Global Communications Conference, 2007Co-Authors: Daisuke Takahashi, Yang XiaoAbstract:In this paper, we propose Least Total-Route- Temperature (LTRT), a thermal aware routing algorithm, to reduce temperature caused by Biomedical Sensors implanted in human bodies. In the proposed scheme, nodes' temperatures are converted into graph weights and minimum temperature routes are obtained. Simulations are conducted to show the advantages of the proposed scheme when comparing with three other related schemes.
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Temperature-aware routing for telemedicine applications in embedded Biomedical Sensor networks
EURASIP Journal on Wireless Communications and Networking, 2007Co-Authors: Daisuke Takahashi, Yang Xiao, Jiming Chen, Youxian SunAbstract:Biomedical Sensors, called invivo Sensors, are implanted in human bodies, and cause some harmful effects on surrounding body tissues. Particularly, temperature rise of the invivo Sensors is dangerous for surrounding tissues, and a high temperature may damage them from a long term monitoring. In this paper, we propose a thermal-aware routing algorithm, called least total-route-temperature (LTRT) protocol, in which nodes temperatures are converted into graph weights, and minimum temperature routes are obtained. Furthermore, we provide an extensive simulation evaluation for comparing several other related schemes. Simulation results show the advantages of the proposed scheme.
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GLOBECOM - LTRT: Least Total-Route Temperature Routing for Embedded Biomedical Sensor Networks
IEEE GLOBECOM 2007-2007 IEEE Global Telecommunications Conference, 2007Co-Authors: Daisuke Takahashi, Yang XiaoAbstract:In this paper, we propose Least Total-Route- Temperature (LTRT), a thermal aware routing algorithm, to reduce temperature caused by Biomedical Sensors implanted in human bodies. In the proposed scheme, nodes' temperatures are converted into graph weights and minimum temperature routes are obtained. Simulations are conducted to show the advantages of the proposed scheme when comparing with three other related schemes.
Yong Lian - One of the best experts on this subject based on the ideXlab platform.
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a 1 v 450 nw fully integrated programmable Biomedical Sensor interface chip
Symposium on VLSI Circuits, 2009Co-Authors: Xiaodan Zou, Xiaoyuan Xu, Libin Yao, Yong LianAbstract:This paper presents a fully integrated programmable Biomedical Sensor interface chip dedicated to the processing of various types of Biomedical signals. The chip, optimized for high power efficiency, contains a low noise amplifier, a tunable bandpass filter, a programmable gain stage, and a successive approximation register analog-to-digital converter. A novel balanced tunable pseudo-resistor is proposed to achieve low signal distortion and high dynamic range under low voltage operations. A 53 nW, 30 kHz relaxation oscillator is included on-chip for low power consumption and full integration. The design was fabricated in a 0.35 μm standard CMOS process and tested at 1 V supply. The analog front-end has measured frequency response from 4.5 mHz to 292 Hz, programmable gains from 45.6 dB to 60 dB, input referred noise of 2.5 μV rms in the amplifier bandwidth, a noise efficiency factor (NEF) of 3.26, and a low distortion of less than 0.6% with full voltage swing at the ADC input. The system consumes 445 nA in the 31 Hz narrowband mode for heart rate detection and 895 nA in the 292 Hz wideband mode for ECG recording.
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Towards self-powered wireless Biomedical Sensor devices
2008 9th International Conference on Solid-State and Integrated-Circuit Technology, 2008Co-Authors: Yong LianAbstract:This paper presents an ultra low power system architecture for self-powered sub-mW wireless Biomedical Sensor devices. The proposed architecture optimizes the power consumption by employing event-based mechanism to minimize the circuit activities, adopting reconfigurable circuits to increase the system flexibility, and using asymmetric asynchronous pulse-based transceiver to reduce the power of wireless communication.
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a 1 v 450 nw fully integrated Biomedical Sensor interface system
Symposium on VLSI Circuits, 2008Co-Authors: Xiaodan Zou, Libin Yao, Yong LianAbstract:This paper presents a 1 V 450 nW fully integrated bio-signal acquisition IC in 0.35 mum CMOS technology which includes a tunable band-pass filter, a variable gain amplifier, and a 12-bit ADC. The ultra-low power is achieved by using an energy-efficient system architecture and a novel tunable band-pass filter. The measurement shows that the overall system draws only 445 nA current from a 1 V supply in the detection mode and 895 nA in the diagnosis mode for electrocardiogram (ECG) applications.