Secure ACO-Based Wireless Sensor Network Routing Algorithm for IoT
The problem of developing effective and secure routing protocols has drawn more interest in network research with the popularization of IoT-connected devices. The perception of ensuring security is expensive in terms of computation, power and user-interface components because of low-power IoT o...
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| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | en en |
| Published: |
IEEE
2021
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/91048/1/91048_Secure%20ACO-Based%20Wireless%20Sensor%20Network%20Routing%20Algorithm%20for%20IoT.pdf http://irep.iium.edu.my/91048/7/91048_On%20the%20evaluation%20of%20DHT22%20temperature%20sensor%20for%20IoT%20application_Scopus.pdf http://irep.iium.edu.my/91048/ https://ieeexplore.ieee.org/abstract/document/9467223?casa_token=-egQjyBDZrgAAAAA:dqWjed0o9s5aXsap3tvOY2zBSYjfMOXWHHH0UC4X9XJ8l1208qlS5wiSXfzCciCknVJKc64pLiVoBAE |
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| Summary: | The problem of developing effective and secure
routing protocols has drawn more interest in network research
with the popularization of IoT-connected devices. The
perception of ensuring security is expensive in terms of
computation, power and user-interface components because of
low-power IoT objects or sensor nodes. Secret keys distribution
schemes are computationally expensive and require more
resources. Rather, bio-inspired mechanisms are considered
more robust as they offer optimal and inexpensive solutions for
designing secure routing algorithms for their inherent
adaptable and scalable features. Moreover, trusted neighbor
discovery is a crucial task. That is why a complementary
security measure, trust evaluation system, is adopted here. In
this paper, a secure bio-inspired WSN (Wireless Sensor
Network) routing protocol based on ant colony optimization
(ACO) algorithm for IoT has been proposed and analyzed to
find secure and optimal path that is energy-efficient as well as
aiming at providing trust in IoT environment. The performance
of the proposed routing algorithm is evaluated utilizing
MATLAB. The assessment results indicate that it can find the
forwarding path with comparatively low cost in the premise of
ensuring security and has minimized the average energy
consumption by nearly 50% even as the number of nodes has
increased, when compared with the traditional ACO algorithm,
an existing ant colony based routing algorithm and a current
routing protocol for IoT. |
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