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Agile sink selection in wireless sensor networks

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Agile sink selection in wireless sensor networks. / Mahmudimanesh, M.; Suri, Neeraj.
2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2014. p. 390-398.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Mahmudimanesh, M & Suri, N 2014, Agile sink selection in wireless sensor networks. in 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, pp. 390-398. https://doi.org/10.1109/SAHCN.2014.6990376

APA

Mahmudimanesh, M., & Suri, N. (2014). Agile sink selection in wireless sensor networks. In 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) (pp. 390-398). IEEE. https://doi.org/10.1109/SAHCN.2014.6990376

Vancouver

Mahmudimanesh M, Suri N. Agile sink selection in wireless sensor networks. In 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE. 2014. p. 390-398 doi: 10.1109/SAHCN.2014.6990376

Author

Mahmudimanesh, M. ; Suri, Neeraj. / Agile sink selection in wireless sensor networks. 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON). IEEE, 2014. pp. 390-398

Bibtex

@inproceedings{a577ce9aee8e431b90e1438d6c9e50db,
title = "Agile sink selection in wireless sensor networks",
abstract = "The conventional setup of a wireless sensor network is composed of several sensor nodes and one or more sinks. The network topology and data collection techniques are then optimized towards efficient collection of the sensed data at the sink(s). In this paper, we present a novel network coding technique based on Compressed Sensing that allows each node to operate as a sink. Our network coding technique efficiently disseminates a number of linear combinations of the sensed data. After the dissemination phase, the entire sensed data is available by querying any node of the network. This is especially useful for distributed control using a wireless sensor and actuator network or in scenarios where the end user needs to access the global state of the environment from any node in its vicinity; e.g., when the end user is mobile. {\textcopyright} 2014 IEEE.",
keywords = "Compressed sensing, Electric network topology, Sensor nodes, Wireless sensor networks, Coding techniques, Data collection, Distributed control, End users, Global state, Linear combinations, Network topology, Wireless sensor and actuator networks, Network coding",
author = "M. Mahmudimanesh and Neeraj Suri",
year = "2014",
month = jun,
day = "30",
doi = "10.1109/SAHCN.2014.6990376",
language = "English",
pages = "390--398",
booktitle = "2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - Agile sink selection in wireless sensor networks

AU - Mahmudimanesh, M.

AU - Suri, Neeraj

PY - 2014/6/30

Y1 - 2014/6/30

N2 - The conventional setup of a wireless sensor network is composed of several sensor nodes and one or more sinks. The network topology and data collection techniques are then optimized towards efficient collection of the sensed data at the sink(s). In this paper, we present a novel network coding technique based on Compressed Sensing that allows each node to operate as a sink. Our network coding technique efficiently disseminates a number of linear combinations of the sensed data. After the dissemination phase, the entire sensed data is available by querying any node of the network. This is especially useful for distributed control using a wireless sensor and actuator network or in scenarios where the end user needs to access the global state of the environment from any node in its vicinity; e.g., when the end user is mobile. © 2014 IEEE.

AB - The conventional setup of a wireless sensor network is composed of several sensor nodes and one or more sinks. The network topology and data collection techniques are then optimized towards efficient collection of the sensed data at the sink(s). In this paper, we present a novel network coding technique based on Compressed Sensing that allows each node to operate as a sink. Our network coding technique efficiently disseminates a number of linear combinations of the sensed data. After the dissemination phase, the entire sensed data is available by querying any node of the network. This is especially useful for distributed control using a wireless sensor and actuator network or in scenarios where the end user needs to access the global state of the environment from any node in its vicinity; e.g., when the end user is mobile. © 2014 IEEE.

KW - Compressed sensing

KW - Electric network topology

KW - Sensor nodes

KW - Wireless sensor networks

KW - Coding techniques

KW - Data collection

KW - Distributed control

KW - End users

KW - Global state

KW - Linear combinations

KW - Network topology

KW - Wireless sensor and actuator networks

KW - Network coding

U2 - 10.1109/SAHCN.2014.6990376

DO - 10.1109/SAHCN.2014.6990376

M3 - Conference contribution/Paper

SP - 390

EP - 398

BT - 2014 Eleventh Annual IEEE International Conference on Sensing, Communication, and Networking (SECON)

PB - IEEE

ER -