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20 June 2024
Reseach Article

A Combined Environmental Monitoring Framework based on WSN Clustering and VANET Edge Computation Offloading

by Basilis Mamalis, Sergios Gerakidis
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 186 - Number 2
Year of Publication: 2024
Authors: Basilis Mamalis, Sergios Gerakidis

Basilis Mamalis, Sergios Gerakidis . A Combined Environmental Monitoring Framework based on WSN Clustering and VANET Edge Computation Offloading. International Journal of Computer Applications. 186, 2 ( Jan 2024), 33-41. DOI=10.5120/ijca2024923349

@article{ 10.5120/ijca2024923349,
author = { Basilis Mamalis, Sergios Gerakidis },
title = { A Combined Environmental Monitoring Framework based on WSN Clustering and VANET Edge Computation Offloading },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2024 },
volume = { 186 },
number = { 2 },
month = { Jan },
year = { 2024 },
issn = { 0975-8887 },
pages = { 33-41 },
numpages = {9},
url = { },
doi = { 10.5120/ijca2024923349 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2024-02-07T01:29:32.291979+05:30
%A Basilis Mamalis
%A Sergios Gerakidis
%T A Combined Environmental Monitoring Framework based on WSN Clustering and VANET Edge Computation Offloading
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 2
%P 33-41
%D 2024
%I Foundation of Computer Science (FCS), NY, USA

Wireless Sensor Networks (WSN) and Vehicular Ad-hoc Networks (VANET) have been extensively used in IoT applications for environmental monitoring, especially in rural and agricultural areas. In this paper we present a novel combined approach which uses both WSN and VANET clustered structures for the efficient gathering and processing of environmental parameters in long eNodeB/RSU-enabled roads/highways, which cross large rural areas. The former (WSNs) is used for traditional sensing and data gathering, whereas the latter (VANET) is used for both (a) performing intermediate processing based on modern edge computation offloading techniques, and (b) propagating the data (either raw data or computed results) to the residing eNodeB/RSUs. Extended experimental measurements, taken via the combined use of SUMO and Veins simulation platforms (and focusing in the air quality monitoring experimental case), demonstrate the high efficiency and scalability of the presented approach over very large deployment areas.

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Index Terms

Computer Science
Information Sciences


Wireless Sensor Network Vehicular Ad-hoc Network Node Clustering Network Lifetime Virtual Edge Computing Road Side Unit Computation Offloading