The Experts below are selected from a list of 28326 Experts worldwide ranked by ideXlab platform
Teruo Higashino - One of the best experts on this subject based on the ideXlab platform.
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Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundreds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
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LCN - Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundresds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
Anuj Ratna Bajracharya - One of the best experts on this subject based on the ideXlab platform.
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Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundreds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
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LCN - Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundresds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
Chih-yung Chang - One of the best experts on this subject based on the ideXlab platform.
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An Energy Balanced Data Collection Mechanism for Maximizing Throughput using Uncontrolled Mobile Sink in WSNs
2020 IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan), 2020Co-Authors: Chung-chih Lin, Chih-yung ChangAbstract:Data Collection in the wireless sensor networks has become one of the important research topics. In literature, many studies proposed algorithms for Data Collection using mobile sink. These studies can be further classified into two types according to the mobility of the sink. This paper considers the bus as the mobile sink and presents a distributed Data Collection algorithm for collecting maximal Data from sensors and extending lifetime of the wireless sensor network. Performance evaluation reveals that the proposed Energy Balanced Data Collection (EBDC) Mechanism achieves better throughput and longer network lifetime than existing Mechanisms.
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DBDC: A Distributed Bus-Based Data Collection Mechanism for Maximizing Throughput and Lifetime in WSNs
IEEE Access, 2019Co-Authors: Chih-yung Chang, Chung-chih Lin, Cuijuan Shang, I-hsiung Chang, Diptendu Sinha RoyAbstract:Data Collection is one of the most important research topics in WSNs. In literature, many studies have proposed centralized solutions to cope with the Data Collection problem. However, most of them considered controllable mobile sink which is controlled by an algorithm to determine its speed, path, stop locations as well as the performed task. In fact, the uncontrollable mobile sink can be also applied to collect Data from a given set of deployed sensors. A number of studies assumed that the sink is fixed and all sensors transmit their Data to the sink. However, it leads to the problems of unbalanced workload and network disconnection. Some other studies scheduled the controllable mobile sink. However, the algorithms developed by adopting the controllable mobile sink cannot be applied to the scenarios where the uncontrollable mobile sink is adopted. The main reason is that the stops and arrival time of the uncontrollable mobile sink are unknown. In addition, the problems including the high hardware cost and energy limitation of the controllable mobile sink are still needed to be overcome. This paper proposes a distributed Data Collection Mechanism, called Distributed Bus-based Data Collection (DBDC) algorithm, which considers the bus as mobile sink aiming to maximize the amount of collected Data and the network lifetime of wireless sensor networks. Applying the proposed DBDC, each sensor negotiates with its neighbors based on a bidding procedure such that the sensor that buffers more Data can obtain more sharing slots instead of increasing its power level. To prolong the network lifetime, the sensor with higher remaining energy can enlarge its transmission power, aiming to release more sharing slots to cooperatively help the neighbor that buffers more Data. Experimental study reveals that the proposed DBDC algorithm outperforms related works in terms of throughput, network lifetime and fairness.
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Cooperative Data Collection Mechanism Using Multiple Mobile Sinks in Wireless Sensor Networks.
Sensors (Basel Switzerland), 2018Co-Authors: Weimin Wen, Chih-yung Chang, Shenghui Zhao, Cuijuan ShangAbstract:Data Collection problems have received much attention in recent years. Many Data Collection algorithms that constructed a path and adopted one or more mobile sinks to collect Data along the paths have been proposed in wireless sensor networks (WSNs). However, the efficiency of the established paths still can be improved. This paper proposes a cooperative Data Collection algorithm (CDCA), which aims to prolong the network lifetime of the given WSNs. The CDCA initially partitions the n sensor nodes into k groups and assigns each mobile sink acting as the local mobile sink to collect Data generated by the sensors of each group. Then the CDCA selects an appropriate set of Data Collection points in each group and establishes a separate path passing through all the Data Collection points in each group. Finally, a global path is constructed and the rendezvous time points and the speed of each mobile sink are arranged for collecting Data from k local mobile sinks to the global mobile sink. Performance evaluations reveal that the proposed CDCA outperforms the related works in terms of rendezvous time, network lifetime, fairness index as well as efficiency index.
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EBDC: An Energy-Balanced Data Collection Mechanism Using a Mobile Data Collector in WSNs
Sensors (Basel Switzerland), 2012Co-Authors: Chih-yung Chang, Chih-yu Lin, Chin-hwa KuoAbstract:The Data Collection problem is one of the most important issues in Wireless Sensor Networks (WSNs). Constructing a tree from all sensor nodes to the sink node is the simplest way, but this raises the problem of energy unbalance since the sensors closer to the sink node would have much higher workloads from relaying Data. To cope with the energy unbalance problem, a number of mobile-sink Mechanisms have been proposed in recent years. This paper proposes an Energy-Balanced Data Collection Mechanism, called EBDC, which determines the trajectory of a mobile Data collector (or mobile sink) such that the Data-relaying workloads of all sensors can be totally balanced. Theoretical analysis and performance evaluation reveal that the proposed EBDC Mechanism outperforms the existing approaches in terms of network lifetime and the degree of energy balancing.
Akira Uchiyama - One of the best experts on this subject based on the ideXlab platform.
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Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundreds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
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LCN - Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundresds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
Akihito Hiromori - One of the best experts on this subject based on the ideXlab platform.
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Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundreds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
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LCN - Implementation of a Data Collection Mechanism in electronic triage system using wireless sensor devices
2011 IEEE 36th Conference on Local Computer Networks, 2011Co-Authors: Anuj Ratna Bajracharya, Akira Uchiyama, Akihito Hiromori, Hirozumi Yamaguchi, Teruo HigashinoAbstract:The electronic triage system developed by our research group is a wireless sensor network, constructed by electronic triage tags composed of vital sign sensors and ZigBee modules. The system assumes a network of hundresds of patients, simultaneously transmitting Data to a remote sink. We have investigated the performance of a simple Data Collection Mechanism in real scenarios, based on IEEE 802.15.4 in a ZigBee device like SunSPOT, and have examined some challenges in such scenarios. The Data delivery ratio of 98% has been recorded while sending Data equivalent to that of 100 devices in a triage tent scenario, where every device is one hop away from the sink. Adjustment of hello packet interval according to the scenarios has been observed to be an important factor. The results are found to be useful in adjusting parameters in our future work.
