Authors :
Rodgers Kimera; Richard Okello Angole; David Kakeeto
Volume/Issue :
Volume 9 - 2024, Issue 12 - December
Google Scholar :
https://tinyurl.com/yw8hhdar
Scribd :
https://tinyurl.com/4nby4u49
DOI :
https://doi.org/10.5281/zenodo.14575888
Abstract :
In this current generation of increasing
adoption of advanced computing and Internet of Things
applications, Wireless Sensor Networks (WSNs) will
attract an elevating role in supporting several IoT use
cases and applications in real life. Such applications
include weather monitoring, agriculture, health, security
applications, among others. Since demand for such
applications has increased, there is a need to study and
implement WSN in such a way that will efficiently
support implementation of IoT applications across
locations including the world of inaccessible areas. Most
of the sensor devices that support IoT application
implementation are battery powered and always have
limitations with energy optimization especially when
they are installed in inaccessible areas. Due to this fact,
energy optimization in WSN is attracting great attention.
The applications of WSN have spanned across various
environments, and several other challenges and
constraints such as Network Performance, Delay, Energy
Efficiency, Limited bandwidth, Node costs, and
Complexity of Network protocols exist and all affect
WSN performance hence greatly affecting IoT
applications implementation. Several categories of
Routing protocols exist ranging from reactive, proactive,
hybrid among others but this research only concentrates
on reactive and Proactive protocols of Dynamic Source
Routing (DSR), Ad hoc On-Demand Distance Vector
(AODV) and Optimized Link-state Routing (OLSR) in
analyzing and studying energy efficiency in WSN. In this
paper, we recount on experimental methodology to
simulate mechanisms and draw conclusion on selected
Routing protocols to determine one with a most efficient
Energy optimization strategy in a WSN design.
Keywords :
Wireless Sensor Networks, Data Transfer Rate, Energy Consumption, Packet Delivery Ratio, Sensor Node, Sink Node.
References :
- “IoT connected devices worldwide 2019-2030 | Statista.” Accessed: Jan. 16, 2023. [Online]. Available: https://www.statista.com/statistics/1183457/iot-connected-devices-worldwide/
- “The Effect of the Internet of Things on Sustainability.” Accessed: Jan. 16, 2023. [Online]. Available: https://iot-analytics.com/effect-iot-sustainability/
- J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of Things (IoT): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013, doi: 10.1016/J.FUTURE.2013.01.010.
- H. Tschofenig, J. Arkko, D. Thaler, and D. McPherson, “Architectural considerations in smart object networking. In: RFC 7452 (2015),” 2015.
- N. Shabbir, S. R. Hassan, N. Shabbir, and S. R. Hassan, “Routing Protocols for Wireless Sensor Networks (WSNs),” Wireless Sensor Networks - Insights and Innovations, Oct. 2017, doi: 10.5772/INTECHOPEN.70208.
In this current generation of increasing
adoption of advanced computing and Internet of Things
applications, Wireless Sensor Networks (WSNs) will
attract an elevating role in supporting several IoT use
cases and applications in real life. Such applications
include weather monitoring, agriculture, health, security
applications, among others. Since demand for such
applications has increased, there is a need to study and
implement WSN in such a way that will efficiently
support implementation of IoT applications across
locations including the world of inaccessible areas. Most
of the sensor devices that support IoT application
implementation are battery powered and always have
limitations with energy optimization especially when
they are installed in inaccessible areas. Due to this fact,
energy optimization in WSN is attracting great attention.
The applications of WSN have spanned across various
environments, and several other challenges and
constraints such as Network Performance, Delay, Energy
Efficiency, Limited bandwidth, Node costs, and
Complexity of Network protocols exist and all affect
WSN performance hence greatly affecting IoT
applications implementation. Several categories of
Routing protocols exist ranging from reactive, proactive,
hybrid among others but this research only concentrates
on reactive and Proactive protocols of Dynamic Source
Routing (DSR), Ad hoc On-Demand Distance Vector
(AODV) and Optimized Link-state Routing (OLSR) in
analyzing and studying energy efficiency in WSN. In this
paper, we recount on experimental methodology to
simulate mechanisms and draw conclusion on selected
Routing protocols to determine one with a most efficient
Energy optimization strategy in a WSN design.
Keywords :
Wireless Sensor Networks, Data Transfer Rate, Energy Consumption, Packet Delivery Ratio, Sensor Node, Sink Node.