Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)

SIPF Protocol for Wireless Sensor Networks with Optimal Energy Efficiency Depending on Density

Authors
Walid BOUDHIAFI1, *, Tahar EZZEDINE2
1,2Sys’Com laboratory, National Engineering School of Tunis, University of Tunis - El Manar, Tunis
Corresponding Author
Walid BOUDHIAFI
Available Online 2 February 2022.
DOI
10.2991/aisr.k.220201.038How to use a DOI?
Keywords
Duty-Cycle; Energy; Routing protocol; SIPF protocol; Wireless Sensor Networks (WSN); density
Abstract

Wireless sensor networks (WSN) are viewed as a group of sensor nodes that monitor an area and interact collectively to provide data directly to the base station (BS) or intermediate sensor nodes through single-hop routing, multi-hop routing. The main characteristics of a WSN are: lifetime, rate of loss and security: The lifetime of a WSN is highly dependent on the energy consumption of the sensor nodes. This limitation makes extending the sensor node’s life more difficult. In this paper, we present an upgrade to the Sink Initiated Path Formation (SIPF) protocol that minimizes power consumption and packet loss rate as a function of the density of sensor nodes in the vicinity of the “sink” sensor node.

Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

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Volume Title
Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
Series
Advances in Intelligent Systems Research
Publication Date
2 February 2022
ISBN
978-94-6239-528-2
ISSN
1951-6851
DOI
10.2991/aisr.k.220201.038How to use a DOI?
Copyright
© 2022 The Authors. Published by Atlantis Press International B.V.
Open Access
This is an open access article under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Walid BOUDHIAFI
AU  - Tahar EZZEDINE
PY  - 2022
DA  - 2022/02/02
TI  - SIPF Protocol for Wireless Sensor Networks with Optimal Energy Efficiency Depending on Density
BT  - Proceedings of the 2nd International Conference on Industry 4.0 and Artificial Intelligence (ICIAI 2021)
PB  - Atlantis Press
SP  - 215
EP  - 221
SN  - 1951-6851
UR  - https://doi.org/10.2991/aisr.k.220201.038
DO  - 10.2991/aisr.k.220201.038
ID  - BOUDHIAFI2022
ER  -