Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks

In mobile ad hoc networks, topology changes very frequently due to node’s mobility. Frequent change in topology increases traffic signaling that may arise energy and scalability issue. Cluster-based routing is the energy-efficient technique in mobile ad hoc networks to address the scalability issue...

Full description

Bibliographic Details
Main Authors: Masood Ahmad, Ataul Aziz Ikram, Rabo Lela, Ishtiaq Wahid, Riaz Ulla
Format: Article
Language:English
Published: SAGE Publishing 2017-06-01
Series:International Journal of Distributed Sensor Networks
Online Access:https://doi.org/10.1177/1550147717716815
id doaj-e1e3cd59c63a4ed0966b467101dd4ac1
record_format Article
spelling doaj-e1e3cd59c63a4ed0966b467101dd4ac12020-11-25T03:24:08ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772017-06-011310.1177/1550147717716815Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networksMasood Ahmad0Ataul Aziz Ikram1Rabo Lela2Ishtiaq Wahid3Riaz Ulla4Department of Computing and Technology, Iqra University, Islamabad, PakistanSchool of Electrical Engineering, National University of Computer and Emerging Sciences, Islamabad, PakistanDepartment of Computer Science, University of Manitoba, Winnipeg, MB, CanadaDepartment of Computing and Technology, Iqra University, Islamabad, PakistanDepartment of Electrical Engineering, University of Electronic Science and Technology of China, Chengdu, ChinaIn mobile ad hoc networks, topology changes very frequently due to node’s mobility. Frequent change in topology increases traffic signaling that may arise energy and scalability issue. Cluster-based routing is the energy-efficient technique in mobile ad hoc networks to address the scalability issue and to minimize control messages. In this article, honey bee algorithm is used for dividing the mobile ad hoc network nodes into different clusters. The bees work to gather in groups to perform their activities. The proposed honey bee algorithm–based clustering forms clusters in an efficient manner with fewer resources such as energy and bandwidth utilization. A node is selected as cluster head based on node degree, neighbor’s behavior, mobility direction, mobility speed, and remaining energy. Due to the efficient nature of bees and maximum parameter’s consideration, the proposed technique inspired from the foraging behavior of honey bees gives efficient and stable cluster formation. The control message overhead is also avoided. The work is validated mathematically, and simulation has been performed for different scenarios. Simulation results are compared with existing clustering schemes. The simulation results show that the honey bee algorithm–based clustering technique used for clustering outperforms the existing schemes under consideration.https://doi.org/10.1177/1550147717716815
collection DOAJ
language English
format Article
sources DOAJ
author Masood Ahmad
Ataul Aziz Ikram
Rabo Lela
Ishtiaq Wahid
Riaz Ulla
spellingShingle Masood Ahmad
Ataul Aziz Ikram
Rabo Lela
Ishtiaq Wahid
Riaz Ulla
Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks
International Journal of Distributed Sensor Networks
author_facet Masood Ahmad
Ataul Aziz Ikram
Rabo Lela
Ishtiaq Wahid
Riaz Ulla
author_sort Masood Ahmad
title Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks
title_short Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks
title_full Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks
title_fullStr Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks
title_full_unstemmed Honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks
title_sort honey bee algorithm–based efficient cluster formation and optimization scheme in mobile ad hoc networks
publisher SAGE Publishing
series International Journal of Distributed Sensor Networks
issn 1550-1477
publishDate 2017-06-01
description In mobile ad hoc networks, topology changes very frequently due to node’s mobility. Frequent change in topology increases traffic signaling that may arise energy and scalability issue. Cluster-based routing is the energy-efficient technique in mobile ad hoc networks to address the scalability issue and to minimize control messages. In this article, honey bee algorithm is used for dividing the mobile ad hoc network nodes into different clusters. The bees work to gather in groups to perform their activities. The proposed honey bee algorithm–based clustering forms clusters in an efficient manner with fewer resources such as energy and bandwidth utilization. A node is selected as cluster head based on node degree, neighbor’s behavior, mobility direction, mobility speed, and remaining energy. Due to the efficient nature of bees and maximum parameter’s consideration, the proposed technique inspired from the foraging behavior of honey bees gives efficient and stable cluster formation. The control message overhead is also avoided. The work is validated mathematically, and simulation has been performed for different scenarios. Simulation results are compared with existing clustering schemes. The simulation results show that the honey bee algorithm–based clustering technique used for clustering outperforms the existing schemes under consideration.
url https://doi.org/10.1177/1550147717716815
work_keys_str_mv AT masoodahmad honeybeealgorithmbasedefficientclusterformationandoptimizationschemeinmobileadhocnetworks
AT ataulazizikram honeybeealgorithmbasedefficientclusterformationandoptimizationschemeinmobileadhocnetworks
AT rabolela honeybeealgorithmbasedefficientclusterformationandoptimizationschemeinmobileadhocnetworks
AT ishtiaqwahid honeybeealgorithmbasedefficientclusterformationandoptimizationschemeinmobileadhocnetworks
AT riazulla honeybeealgorithmbasedefficientclusterformationandoptimizationschemeinmobileadhocnetworks
_version_ 1724603077133074432