AIS based distributed wireless sensor network for mobile search and rescue robot tracking

Albert Ko*, Henry Y K Lau, Nicole M Y Lee

*Corresponding author for this work

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)

Abstract

The General Suppression Control Framework (GSCF) is a framework inspired by the suppression hypothesis of the immune discrimination theory. The framework consists of five distinct components, the Affinity Evaluator, Cell Differentiator, Cell Reactor, Suppression Modulator, and the Local Environment. These reactive components, each responsible for a specific function, can generate long-term and short-term influences to other components by the use of humoral and cellular signals.This paper presents the design and application of a GSCF based distributed wireless sensor network prototyping system for tracking mobile search and rescue robots. The main objective of this physical prototyping system is to demonstrate the possibility of applying advanced Zigbee sensors to form a network that can locate a small group of mobile robots within the wireless sensor network. Another important objective of the prototyping system presented is to identify potential technological constraints in the physical system. Referencing to the result obtained, future research can be formulated and realistic simulation environment can be developed.

Original languageEnglish
Title of host publicationICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings
PublisherSpringer
Pages399-411
Number of pages13
ISBN (Print)9783540850717
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event7th International Conference on Artificial Immune Systems, ICARIS 2008 - Phuket, Thailand
Duration: 10 Aug 200813 Aug 2008

Publication series

NameLecture Notes in Computer Science
Volume5132 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Conference on Artificial Immune Systems, ICARIS 2008
CountryThailand
CityPhuket
Period10/08/0813/08/08

Fingerprint

Distributed Sensor
Wireless Sensor Networks
Wireless sensor networks
Prototyping
Robot
Robots
Zigbee
Mobile robots
Modulators
ZigBee
Cell
Sensors
Modulator
Simulation Environment
Mobile Robot
Reactor
Discrimination
Affine transformation
Distinct
Sensor

Keywords

  • Artificial immune systems
  • Humanitarian search and rescue
  • Robotics
  • Wireless sensor networks

Cite this

Ko, A., Lau, H. Y. K., & Lee, N. M. Y. (2008). AIS based distributed wireless sensor network for mobile search and rescue robot tracking. In ICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings (pp. 399-411). (Lecture Notes in Computer Science; Vol. 5132 LNCS). Springer. https://doi.org/10.1007/978-3-540-85072-4_35
Ko, Albert ; Lau, Henry Y K ; Lee, Nicole M Y. / AIS based distributed wireless sensor network for mobile search and rescue robot tracking. ICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings. Springer, 2008. pp. 399-411 (Lecture Notes in Computer Science).
@inproceedings{1ce63e66e0e941979548ddcee76a0af0,
title = "AIS based distributed wireless sensor network for mobile search and rescue robot tracking",
abstract = "The General Suppression Control Framework (GSCF) is a framework inspired by the suppression hypothesis of the immune discrimination theory. The framework consists of five distinct components, the Affinity Evaluator, Cell Differentiator, Cell Reactor, Suppression Modulator, and the Local Environment. These reactive components, each responsible for a specific function, can generate long-term and short-term influences to other components by the use of humoral and cellular signals.This paper presents the design and application of a GSCF based distributed wireless sensor network prototyping system for tracking mobile search and rescue robots. The main objective of this physical prototyping system is to demonstrate the possibility of applying advanced Zigbee sensors to form a network that can locate a small group of mobile robots within the wireless sensor network. Another important objective of the prototyping system presented is to identify potential technological constraints in the physical system. Referencing to the result obtained, future research can be formulated and realistic simulation environment can be developed.",
keywords = "Artificial immune systems, Humanitarian search and rescue, Robotics, Wireless sensor networks",
author = "Albert Ko and Lau, {Henry Y K} and Lee, {Nicole M Y}",
year = "2008",
doi = "10.1007/978-3-540-85072-4_35",
language = "English",
isbn = "9783540850717",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "399--411",
booktitle = "ICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings",

}

Ko, A, Lau, HYK & Lee, NMY 2008, AIS based distributed wireless sensor network for mobile search and rescue robot tracking. in ICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings. Lecture Notes in Computer Science, vol. 5132 LNCS, Springer, pp. 399-411, 7th International Conference on Artificial Immune Systems, ICARIS 2008, Phuket, Thailand, 10/08/08. https://doi.org/10.1007/978-3-540-85072-4_35

AIS based distributed wireless sensor network for mobile search and rescue robot tracking. / Ko, Albert; Lau, Henry Y K; Lee, Nicole M Y.

ICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings. Springer, 2008. p. 399-411 (Lecture Notes in Computer Science; Vol. 5132 LNCS).

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

TY - GEN

T1 - AIS based distributed wireless sensor network for mobile search and rescue robot tracking

AU - Ko, Albert

AU - Lau, Henry Y K

AU - Lee, Nicole M Y

PY - 2008

Y1 - 2008

N2 - The General Suppression Control Framework (GSCF) is a framework inspired by the suppression hypothesis of the immune discrimination theory. The framework consists of five distinct components, the Affinity Evaluator, Cell Differentiator, Cell Reactor, Suppression Modulator, and the Local Environment. These reactive components, each responsible for a specific function, can generate long-term and short-term influences to other components by the use of humoral and cellular signals.This paper presents the design and application of a GSCF based distributed wireless sensor network prototyping system for tracking mobile search and rescue robots. The main objective of this physical prototyping system is to demonstrate the possibility of applying advanced Zigbee sensors to form a network that can locate a small group of mobile robots within the wireless sensor network. Another important objective of the prototyping system presented is to identify potential technological constraints in the physical system. Referencing to the result obtained, future research can be formulated and realistic simulation environment can be developed.

AB - The General Suppression Control Framework (GSCF) is a framework inspired by the suppression hypothesis of the immune discrimination theory. The framework consists of five distinct components, the Affinity Evaluator, Cell Differentiator, Cell Reactor, Suppression Modulator, and the Local Environment. These reactive components, each responsible for a specific function, can generate long-term and short-term influences to other components by the use of humoral and cellular signals.This paper presents the design and application of a GSCF based distributed wireless sensor network prototyping system for tracking mobile search and rescue robots. The main objective of this physical prototyping system is to demonstrate the possibility of applying advanced Zigbee sensors to form a network that can locate a small group of mobile robots within the wireless sensor network. Another important objective of the prototyping system presented is to identify potential technological constraints in the physical system. Referencing to the result obtained, future research can be formulated and realistic simulation environment can be developed.

KW - Artificial immune systems

KW - Humanitarian search and rescue

KW - Robotics

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=51249100859&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-85072-4_35

DO - 10.1007/978-3-540-85072-4_35

M3 - Conference paper (refereed)

SN - 9783540850717

T3 - Lecture Notes in Computer Science

SP - 399

EP - 411

BT - ICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings

PB - Springer

ER -

Ko A, Lau HYK, Lee NMY. AIS based distributed wireless sensor network for mobile search and rescue robot tracking. In ICARIS 2008: Artificial Immune Systems - 7th International Conference Proceedings. Springer. 2008. p. 399-411. (Lecture Notes in Computer Science). https://doi.org/10.1007/978-3-540-85072-4_35