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Menoufia Journal of Electronic Engineering Research
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Volume Volume 30 (2021)
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Rady, A., Shokair, M., El-Rabaie, S., Sabor, N. (2021). Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks. Menoufia Journal of Electronic Engineering Research, 30(1), 1-12. doi: 10.21608/mjeer.2021.146069
Asmaa Rady; Mona Shokair; S. El-Rabaie; Nabil Sabor. "Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks". Menoufia Journal of Electronic Engineering Research, 30, 1, 2021, 1-12. doi: 10.21608/mjeer.2021.146069
Rady, A., Shokair, M., El-Rabaie, S., Sabor, N. (2021). 'Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks', Menoufia Journal of Electronic Engineering Research, 30(1), pp. 1-12. doi: 10.21608/mjeer.2021.146069
Rady, A., Shokair, M., El-Rabaie, S., Sabor, N. Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks. Menoufia Journal of Electronic Engineering Research, 2021; 30(1): 1-12. doi: 10.21608/mjeer.2021.146069

Efficient Clustering based Genetic Algorithm in Mobile Wireless Sensor Networks

Article 1, Volume 30, Issue 1, Winter 2021, Page 1-12  XML PDF (1.65 MB)
Document Type: Original Article
DOI: 10.21608/mjeer.2021.146069
Authors
Asmaa Rady1; Mona Shokair2; S. El-Rabaie2; Nabil Sabor3
1dept. of electrical and electronics eng. faculty of electronic eng., menoufia univ.Meouf, Egypt
2dept. of electrical and electronics eng. faculty of electronic eng., menoufia, univ. Meouf, Egypt
3dept. of electrical and electronics eng. faculty of engineering, assiut univ. Assiut, Egypt
Abstract
—Mobile Wireless Sensor Networks (MWSNs) has significant applications that provide free moving for sensor nodes and flexible communication with each other. MWSNs perform many improvements in energy consumption, network lifetime, and channel capacity than static WSNs. The MWSNs need more sophisticated routing protocols than static WSNs due to the unfixed topology based on nodes mobility. This paperpresents an Improved Mobility based Genetic Algorithm Hierarchical routing Protocol (IMGAHP) to handle the packet delivery ratio problem in MGAHP and maximize the network stability period. The proposed protocol is based on two main points. Firstly, utilizing the optimization process (Genetic Algorithm (GA)) to detect the optimum location of Cluster Heads (CHs) and their numbers. Secondly, reassigning timeslots allocated for sensor nodes which moved out of the cluster or didn’t have data to send, to nodes registered in secondary Time Division Multiple Access (TDMA) schedule or new joined mobile nodes. Several experiments are implemented on the proposed IMGAHP protocol using the Matlab simulation program to appraise and compare it with MGAHP and other previous protocols. It is shown from the results that the proposed IMGAHP gives preferable enhancement in packet delivery ratio, energy efficiency, and network lifetime than all previous protocols.
Keywords
MWSN; genetic algorithm; TDMA; CH
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