Ant Based Routing Protocol for Visual Sensors

Adamu Murtala Zungeru; Li-Minn Ang; S. R. S. Prabaharan; Kah Phooi Seng

doi:10.1007/978-3-642-25453-6_23

Ant Based Routing Protocol for Visual Sensors

Adamu Murtala Zungeru, Li-Minn Ang, S. R. S. Prabaharan, Kah Phooi Seng

Research output: Book chapter/Published conference paper › Conference paper › peer-review

16 Citations (Scopus)

Abstract

In routing protocols, sensor nodes tend to route events (images) captured to a particular destination (sink) using the most efficient path. The power and bandwidth required to transmit video data from hundreds of cameras to a central location for processing at a high success rate would be enormous. In this work, captured packets were routed from different sensors placed at different locations to the sink using the best path. Since the captured images (packets) need to be routed to the destination (sink) at regular interval and within a predefined period of time, while consuming low energy without performance degradation, Ant based routing which utilizes the behavior of real ants searching for food through pheromone deposition, while dealing with problems that need to find paths to goals, through the simulating behavior of ant colony is adopted. In this end, we present an Improved Energy-Efficient Ant- Based Routing (IEEABR) Algorithm in Visual Sensor Networks. Compared to the state-of-the-art Ant-Based routing protocols; Basic Ant-Based Routing (BABR) Algorithm, Sensor-driven and Cost-aware ant routing (SC), Flooded Forward ant routing (FF), Flooded Piggybacked ant routing (FP), and Energy- Efficient Ant-Based Routing (EEABR), the proposed IEEABR approach have advantages of reduced energy usage, delivering events packets at high success rate with low latency, increases the network lifetime, and actively performing its set target without performance degradation. The performance evaluations for the algorithms on a real application are conducted in a well known WSNs MATLAB-based simulator (RMASE) using both static and dynamic scenario.

Original language	English
Title of host publication	Proceedings of the International Conference on Informatics Engineering and Information Science
Subtitle of host publication	ICIEIS 2011
Editors	Azizah Abd Manaf, Shamsul Sahibuddin, Rabiah Ahmad, Salwani Modh Daud, Eyas El-Qawashmeh
Place of Publication	Berlin
Publisher	Springer
Pages	250-264
Number of pages	15
Volume	252
ISBN (Print)	9783642254529
DOIs	https://doi.org/10.1007/978-3-642-25453-6_23
Publication status	Published - 2011
Event	International Conference on Informatics Engineering and Information Science: ICIEI 2011 - Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia Duration: 14 Nov 2011 → 16 Nov 2011 http://icieis2011.sdiwc.us/ (Event home page)

Publication series

Name	Communications in Computer and Information Science

Conference

Conference	International Conference on Informatics Engineering and Information Science
Country/Territory	Malaysia
City	Kuala Lumpur
Period	14/11/11 → 16/11/11
Internet address	http://icieis2011.sdiwc.us/ (Event home page)

Access to Document

10.1007/978-3-642-25453-6_23

Cite this

Zungeru, A. M., Ang, L-M., Prabaharan, S. R. S., & Seng, K. P. (2011). Ant Based Routing Protocol for Visual Sensors. In A. Abd Manaf, S. Sahibuddin, R. Ahmad, S. Modh Daud, & E. El-Qawashmeh (Eds.), Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011 (Vol. 252, pp. 250-264). (Communications in Computer and Information Science). Springer. https://doi.org/10.1007/978-3-642-25453-6_23

Zungeru, Adamu Murtala ; Ang, Li-Minn ; Prabaharan, S. R. S. ; Seng, Kah Phooi. / Ant Based Routing Protocol for Visual Sensors. Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. editor / Azizah Abd Manaf ; Shamsul Sahibuddin ; Rabiah Ahmad ; Salwani Modh Daud ; Eyas El-Qawashmeh. Vol. 252 Berlin : Springer, 2011. pp. 250-264 (Communications in Computer and Information Science).

@inproceedings{26b6380ed4e24ac5bab510efef9c906e,

title = "Ant Based Routing Protocol for Visual Sensors",

abstract = "In routing protocols, sensor nodes tend to route events (images) captured to a particular destination (sink) using the most efficient path. The power and bandwidth required to transmit video data from hundreds of cameras to a central location for processing at a high success rate would be enormous. In this work, captured packets were routed from different sensors placed at different locations to the sink using the best path. Since the captured images (packets) need to be routed to the destination (sink) at regular interval and within a predefined period of time, while consuming low energy without performance degradation, Ant based routing which utilizes the behavior of real ants searching for food through pheromone deposition, while dealing with problems that need to find paths to goals, through the simulating behavior of ant colony is adopted. In this end, we present an Improved Energy-Efficient Ant- Based Routing (IEEABR) Algorithm in Visual Sensor Networks. Compared to the state-of-the-art Ant-Based routing protocols; Basic Ant-Based Routing (BABR) Algorithm, Sensor-driven and Cost-aware ant routing (SC), Flooded Forward ant routing (FF), Flooded Piggybacked ant routing (FP), and Energy- Efficient Ant-Based Routing (EEABR), the proposed IEEABR approach have advantages of reduced energy usage, delivering events packets at high success rate with low latency, increases the network lifetime, and actively performing its set target without performance degradation. The performance evaluations for the algorithms on a real application are conducted in a well known WSNs MATLAB-based simulator (RMASE) using both static and dynamic scenario.",

keywords = "Visual sensor networks, Wireless sensor networks, Energy efficiency, Performance Evaluation, Ant based routing",

author = "Zungeru, {Adamu Murtala} and Li-Minn Ang and Prabaharan, {S. R. S.} and Seng, {Kah Phooi}",

year = "2011",

doi = "10.1007/978-3-642-25453-6_23",

language = "English",

isbn = "9783642254529",

volume = "252",

series = "Communications in Computer and Information Science",

publisher = "Springer",

pages = "250--264",

editor = "{Abd Manaf}, Azizah and Shamsul Sahibuddin and Rabiah Ahmad and {Modh Daud}, Salwani and Eyas El-Qawashmeh",

booktitle = "Proceedings of the International Conference on Informatics Engineering and Information Science",

address = "United States",

note = "International Conference on Informatics Engineering and Information Science : ICIEI 2011 ; Conference date: 14-11-2011 Through 16-11-2011",

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Zungeru, AM, Ang, L-M, Prabaharan, SRS & Seng, KP 2011, Ant Based Routing Protocol for Visual Sensors. in A Abd Manaf, S Sahibuddin, R Ahmad, S Modh Daud & E El-Qawashmeh (eds), Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. vol. 252, Communications in Computer and Information Science, Springer, Berlin, pp. 250-264, International Conference on Informatics Engineering and Information Science, Kuala Lumpur, Malaysia, 14/11/11. https://doi.org/10.1007/978-3-642-25453-6_23

Ant Based Routing Protocol for Visual Sensors. / Zungeru, Adamu Murtala; Ang, Li-Minn; Prabaharan, S. R. S.; Seng, Kah Phooi.

Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. ed. / Azizah Abd Manaf; Shamsul Sahibuddin; Rabiah Ahmad; Salwani Modh Daud; Eyas El-Qawashmeh. Vol. 252 Berlin : Springer, 2011. p. 250-264 (Communications in Computer and Information Science).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - Ant Based Routing Protocol for Visual Sensors

AU - Zungeru, Adamu Murtala

AU - Ang, Li-Minn

AU - Prabaharan, S. R. S.

AU - Seng, Kah Phooi

PY - 2011

Y1 - 2011

N2 - In routing protocols, sensor nodes tend to route events (images) captured to a particular destination (sink) using the most efficient path. The power and bandwidth required to transmit video data from hundreds of cameras to a central location for processing at a high success rate would be enormous. In this work, captured packets were routed from different sensors placed at different locations to the sink using the best path. Since the captured images (packets) need to be routed to the destination (sink) at regular interval and within a predefined period of time, while consuming low energy without performance degradation, Ant based routing which utilizes the behavior of real ants searching for food through pheromone deposition, while dealing with problems that need to find paths to goals, through the simulating behavior of ant colony is adopted. In this end, we present an Improved Energy-Efficient Ant- Based Routing (IEEABR) Algorithm in Visual Sensor Networks. Compared to the state-of-the-art Ant-Based routing protocols; Basic Ant-Based Routing (BABR) Algorithm, Sensor-driven and Cost-aware ant routing (SC), Flooded Forward ant routing (FF), Flooded Piggybacked ant routing (FP), and Energy- Efficient Ant-Based Routing (EEABR), the proposed IEEABR approach have advantages of reduced energy usage, delivering events packets at high success rate with low latency, increases the network lifetime, and actively performing its set target without performance degradation. The performance evaluations for the algorithms on a real application are conducted in a well known WSNs MATLAB-based simulator (RMASE) using both static and dynamic scenario.

AB - In routing protocols, sensor nodes tend to route events (images) captured to a particular destination (sink) using the most efficient path. The power and bandwidth required to transmit video data from hundreds of cameras to a central location for processing at a high success rate would be enormous. In this work, captured packets were routed from different sensors placed at different locations to the sink using the best path. Since the captured images (packets) need to be routed to the destination (sink) at regular interval and within a predefined period of time, while consuming low energy without performance degradation, Ant based routing which utilizes the behavior of real ants searching for food through pheromone deposition, while dealing with problems that need to find paths to goals, through the simulating behavior of ant colony is adopted. In this end, we present an Improved Energy-Efficient Ant- Based Routing (IEEABR) Algorithm in Visual Sensor Networks. Compared to the state-of-the-art Ant-Based routing protocols; Basic Ant-Based Routing (BABR) Algorithm, Sensor-driven and Cost-aware ant routing (SC), Flooded Forward ant routing (FF), Flooded Piggybacked ant routing (FP), and Energy- Efficient Ant-Based Routing (EEABR), the proposed IEEABR approach have advantages of reduced energy usage, delivering events packets at high success rate with low latency, increases the network lifetime, and actively performing its set target without performance degradation. The performance evaluations for the algorithms on a real application are conducted in a well known WSNs MATLAB-based simulator (RMASE) using both static and dynamic scenario.

KW - Visual sensor networks

KW - Wireless sensor networks

KW - Energy efficiency

KW - Performance Evaluation

KW - Ant based routing

U2 - 10.1007/978-3-642-25453-6_23

DO - 10.1007/978-3-642-25453-6_23

M3 - Conference paper

SN - 9783642254529

VL - 252

T3 - Communications in Computer and Information Science

SP - 250

EP - 264

BT - Proceedings of the International Conference on Informatics Engineering and Information Science

A2 - Abd Manaf, Azizah

A2 - Sahibuddin, Shamsul

A2 - Ahmad, Rabiah

A2 - Modh Daud, Salwani

A2 - El-Qawashmeh, Eyas

PB - Springer

CY - Berlin

T2 - International Conference on Informatics Engineering and Information Science

Y2 - 14 November 2011 through 16 November 2011

ER -

Zungeru AM, Ang L-M, Prabaharan SRS, Seng KP. Ant Based Routing Protocol for Visual Sensors. In Abd Manaf A, Sahibuddin S, Ahmad R, Modh Daud S, El-Qawashmeh E, editors, Proceedings of the International Conference on Informatics Engineering and Information Science: ICIEIS 2011. Vol. 252. Berlin: Springer. 2011. p. 250-264. (Communications in Computer and Information Science). https://doi.org/10.1007/978-3-642-25453-6_23

Ant Based Routing Protocol for Visual Sensors

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