Detection of black hole nodes in mobile ad hoc network using hybrid trustworthiness and energy consumption techniques
Mobile ad-hoc network (MANET) is an evolving technology that is utilized in different applications (i.e. military surveillance, personal network, etc.) and developed in the recent years. Nodes in MANET are capable of functioning as a router for data communication. MANET devices do not require cen...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2017
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| Online Access: | http://psasir.upm.edu.my/id/eprint/70994/1/FK%202017%2012%20-%20IR.pdf http://psasir.upm.edu.my/id/eprint/70994/ |
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| Summary: | Mobile ad-hoc network (MANET) is an evolving technology that is utilized in
different applications (i.e. military surveillance, personal network, etc.) and
developed in the recent years. Nodes in MANET are capable of functioning as a
router for data communication. MANET devices do not require central management,
capable of self-organizing/ healing through persistent reconfiguration. Any MANET
node requires a protocol in order to communicate with its neighbor within its
transmission range.
Ad hoc on-demand distance vector routing protocol (AODV) is a commonly used
protocol in MANET. AODV is a reactive protocol that offers relatively low routing
overhead since the nodes utilizing this protocol operates only when a route is
requested. However, AODV suffers severely from the black hole attacks where the
attacker node advertise itself as having the optimum path leading to the destination
node by varying some essential parameters. Therefore, detecting the black hole in
the network is substantial since MANET depends on the cooperation between
adjacent nodes. In this thesis, a hybrid detection algorithm mechanism has been
proposed which combines two detection algorithms based on nodes’ trustworthiness
and energy consumption in a parallel manner in order to detect the black hole nodes.
An empirical testing approach was utilized here where several scenarios have been
implemented and investigated in order to find the optimal settings. Network
simulator (NS2) simulation findings demonstrate that the trust based algorithm
achieves an average packet delivery ratio (PDR) of 87.3%, end to end delay (EED)
of 7.47 ms and black hole detection accuracy of 90%. On the other hand, the
detection algorithm based on the energy consumption achieves PDR of 91.6%, EED
of 14.03 ms and detection rate accuracy of 93%. The hybrid technique offers decent
average PDR of 94.7, EED of 8.62 ms and improved black hole detection rate accuracy of 96%. Furthermore, the hybrid technique offers reduced end to end delay
with relatively high PDR when compared with two recent works. |
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