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Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network

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Advances on Computational Intelligence in Energy

Part of the book series: Green Energy and Technology ((GREEN))

Abstract

Wireless ad hoc network is widely used nowadays, in particular the mobile type, known as the mobile ad hoc network (MANET). This type of network consists of sets of mobile nodes that do not require a fixed infrastructure such as an access point or base station. The common use of MANET is to enable nodes contacting in the absence of the typical communications infrastructure. Constantly changing topology and having no fixed infrastructures are some of the challenges confronted through a MANET designing. Hence, emphasizing the need to establish an efficient connection inside the network we use for a routing protocol to explore paths among nodes. The guarantee of finding optimum path formation among the nodes is the primary goal of the routing protocol, in order to ensure that messages would be delivered timely. The aim of this paper is to find the best possible route from the source to the destination based on a method inspired by the searching behaviour of bee colonies, i.e. artificial bee colony (ABC) algorithm. This algorithm works on minimizing the average energy consumption of the selected route. For evaluation purposes, the proposed model has been applied on two protocols, i.e. the Destination-Sequenced Distance-Vector Routing (DSDV) and Ad hoc On-demand Distance-Vector (AODV). The evaluation is based on node speed and packet size topology parameters. The results show that the network nodes can save more energy in AODV as compared to DSDV. As such, it can be concluded that optimizing the path from the source to the destination has a significant impact on the quality of the network performance.

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Author information

Authors and Affiliations

  1. Centre of Software Technology and Management, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia

    Mustafa Tareq & Elankovan A. Sundararajan

  2. Computer and Information Sciences Department, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak, Malaysia

    Saad Adnan Abed

Authors
  1. Mustafa Tareq
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  2. Saad Adnan Abed
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  3. Elankovan A. Sundararajan
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Corresponding author

Correspondence to Mustafa Tareq .

Editor information

Editors and Affiliations

  1. University of Malaya, Kuala Lumpur, Malaysia

    Tutut Herawan

  2. Federal College of Education (Technical), Gombe, Nigeria

    Haruna Chiroma

  3. Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

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Tareq, M., Abed, S.A., Sundararajan, E.A. (2019). Artificial Bee Colony for Minimizing the Energy Consumption in Mobile Ad Hoc Network. In: Herawan, T., Chiroma, H., Abawajy, J. (eds) Advances on Computational Intelligence in Energy. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-319-69889-2_2

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  • DOI: https://doi.org/10.1007/978-3-319-69889-2_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-69888-5

  • Online ISBN: 978-3-319-69889-2

  • eBook Packages: EnergyEnergy (R0)

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