Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges

Tariq Alsboui; Mustafa Alrifaee; Rami Etaywi; Mohammad Abdul Jawad

doi:10.1007/978-3-319-52569-3_13

Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges

Tariq Alsboui, Mustafa Alrifaee, Rami Etaywi, Mohammad Abdul Jawad

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

9 Citations (Scopus)

Abstract

A ubiquitous embedded network, such as wireless sensor network (WSN), is characterised by its capability to carry out common tasks by sharing resources that are placed in-node or in-network domains. One of the most critical properties of mobile agent (MA) based wireless sensor network is how to design the itinerary through the WSN for mobile agent. In addition to that, a huge amount of redundant data is generated by sensors due to node density and placement. This consumes network resources such as bandwidth and energy, thus decreasing the life time of sensor network. Several studies have demonstrated the benefits of using mobile agent technology as an effective technique to overcome these limitations. MA itinerary planning techniques can be classified into three categories depending on the factors that define the route of the MA: static-itinerary, dynamic-itinerary, and hybrid-based. This paper presents a survey of the state-of-the-art MA itinerary planning techniques in WSN. The benefits and shortcomings of different MA itinerary planning approaches are presented as motivation for future work into energy efficient MA itinerary planning mechanism.

Original language	English
Title of host publication	Industrial Networks and Intelligent Systems
Subtitle of host publication	Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Proceedings
Editors	Leandros A. Maglaras, Helge Janicke, Kevin Jones
Publisher	Springer, Cham
Pages	143-153
Number of pages	11
Edition	1st
ISBN (Electronic)	9783319525693
ISBN (Print)	9783319525686
DOIs	https://doi.org/10.1007/978-3-319-52569-3_13
Publication status	Published - 31 Oct 2016
Externally published	Yes
Event	2nd International Conference on Industrial Networks and Intelligent Systems - Leicester, United Kingdom Duration: 31 Oct 2016 → 1 Nov 2016 Conference number: 2

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Publisher	Springer
Volume	188
ISSN (Print)	1867-8211

Conference

Conference	2nd International Conference on Industrial Networks and Intelligent Systems
Abbreviated title	INISCOM 2016
Country/Territory	United Kingdom
City	Leicester
Period	31/10/16 → 1/11/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1007/978-3-319-52569-3_13Licence: Unspecified

Cite this

Alsboui, T., Alrifaee, M., Etaywi, R., & Jawad, M. A. (2016). Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges. In L. A. Maglaras, H. Janicke, & K. Jones (Eds.), Industrial Networks and Intelligent Systems: Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Proceedings (1st ed., pp. 143-153). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 188). Springer, Cham. https://doi.org/10.1007/978-3-319-52569-3_13

Alsboui, Tariq ; Alrifaee, Mustafa ; Etaywi, Rami et al. / Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges. Industrial Networks and Intelligent Systems: Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Proceedings. editor / Leandros A. Maglaras ; Helge Janicke ; Kevin Jones. 1st. ed. Springer, Cham, 2016. pp. 143-153 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges",

abstract = "A ubiquitous embedded network, such as wireless sensor network (WSN), is characterised by its capability to carry out common tasks by sharing resources that are placed in-node or in-network domains. One of the most critical properties of mobile agent (MA) based wireless sensor network is how to design the itinerary through the WSN for mobile agent. In addition to that, a huge amount of redundant data is generated by sensors due to node density and placement. This consumes network resources such as bandwidth and energy, thus decreasing the life time of sensor network. Several studies have demonstrated the benefits of using mobile agent technology as an effective technique to overcome these limitations. MA itinerary planning techniques can be classified into three categories depending on the factors that define the route of the MA: static-itinerary, dynamic-itinerary, and hybrid-based. This paper presents a survey of the state-of-the-art MA itinerary planning techniques in WSN. The benefits and shortcomings of different MA itinerary planning approaches are presented as motivation for future work into energy efficient MA itinerary planning mechanism.",

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Alsboui, T, Alrifaee, M, Etaywi, R & Jawad, MA 2016, Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges. in LA Maglaras, H Janicke & K Jones (eds), Industrial Networks and Intelligent Systems: Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Proceedings. 1st edn, Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 188, Springer, Cham, pp. 143-153, 2nd International Conference on Industrial Networks and Intelligent Systems, Leicester, United Kingdom, 31/10/16. https://doi.org/10.1007/978-3-319-52569-3_13

Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges. / Alsboui, Tariq; Alrifaee, Mustafa; Etaywi, Rami et al.

Industrial Networks and Intelligent Systems: Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Proceedings. ed. / Leandros A. Maglaras; Helge Janicke; Kevin Jones. 1st. ed. Springer, Cham, 2016. p. 143-153 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 188).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Alsboui, Tariq

AU - Alrifaee, Mustafa

AU - Etaywi, Rami

AU - Jawad, Mohammad Abdul

N1 - Conference code: 2

PY - 2016/10/31

Y1 - 2016/10/31

N2 - A ubiquitous embedded network, such as wireless sensor network (WSN), is characterised by its capability to carry out common tasks by sharing resources that are placed in-node or in-network domains. One of the most critical properties of mobile agent (MA) based wireless sensor network is how to design the itinerary through the WSN for mobile agent. In addition to that, a huge amount of redundant data is generated by sensors due to node density and placement. This consumes network resources such as bandwidth and energy, thus decreasing the life time of sensor network. Several studies have demonstrated the benefits of using mobile agent technology as an effective technique to overcome these limitations. MA itinerary planning techniques can be classified into three categories depending on the factors that define the route of the MA: static-itinerary, dynamic-itinerary, and hybrid-based. This paper presents a survey of the state-of-the-art MA itinerary planning techniques in WSN. The benefits and shortcomings of different MA itinerary planning approaches are presented as motivation for future work into energy efficient MA itinerary planning mechanism.

AB - A ubiquitous embedded network, such as wireless sensor network (WSN), is characterised by its capability to carry out common tasks by sharing resources that are placed in-node or in-network domains. One of the most critical properties of mobile agent (MA) based wireless sensor network is how to design the itinerary through the WSN for mobile agent. In addition to that, a huge amount of redundant data is generated by sensors due to node density and placement. This consumes network resources such as bandwidth and energy, thus decreasing the life time of sensor network. Several studies have demonstrated the benefits of using mobile agent technology as an effective technique to overcome these limitations. MA itinerary planning techniques can be classified into three categories depending on the factors that define the route of the MA: static-itinerary, dynamic-itinerary, and hybrid-based. This paper presents a survey of the state-of-the-art MA itinerary planning techniques in WSN. The benefits and shortcomings of different MA itinerary planning approaches are presented as motivation for future work into energy efficient MA itinerary planning mechanism.

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Alsboui T, Alrifaee M, Etaywi R, Jawad MA. Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges. In Maglaras LA, Janicke H, Jones K, editors, Industrial Networks and Intelligent Systems: Second International Conference, INISCOM 2016, Leicester, UK, October 31 – November 1, 2016, Proceedings. 1st ed. Springer, Cham. 2016. p. 143-153. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-52569-3_13

Mobile Agent Itinerary Planning Approaches in Wireless Sensor Networks- State of the Art and Current Challenges

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UN SDGs

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