Penjadwalan Berbasis MAC 802.11 dan Routing ACO padaWireless Sensor Network

RA Fattah Adriansyah; Reza Firsandaya Malik

doi:10.29207/resti.v3i3.1435

RA Fattah Adriansyah Universitas Sriwijaya
Reza Firsandaya Malik Universitas Sriwijaya

DOI: https://doi.org/10.29207/resti.v3i3.1435

Keywords: energy efficiency, scheduling, WSN, routing protocol, collision

Abstract

Wireless Sensor Network (WSN) has limited energy characteristics so that the proper configuration is needed in order to create the WSN has a low energy consumption to extend the WSN’s life time. By utilizing the collision incident which is difficult to avoid while nodes transmit data packets so that it can reduce the network’s performance, and then makes it as an active - sleep scheduling that can improve the energy efficiency of WSN. So in this study, we proposed an Ant Colony Optimization (ACO) based routing protocol with collision based MAC 802.11 which will be compared with ACO based routing protocol with MAC 802.11 on WSN in terms of energy efficiency. The results obtained from the simulation carried out is that WSN on the grid topology with the small number of nodes (12 nodes) that using an ACO routing protocol with MAC 802.11 collision based has increased energy efficiency by 91.7% while with the large number of nodes (70 nodes) has increased energy efficiency by 81.4%.

Downloads

Download data is not yet available.

References

Nayyar, A., & Singh, R. (2017). Simulation and Performance Comparison of Ant Colony Optimization (ACO) Routing Protocol with AODV, DSDV, DSR Routing Protocols of Wireless Sensor Networks using NS-2 Simulator. American Journal of Intelligent Systems, 7(1), 19–30. https://doi.org/10.5923/j.ajis.20170701.02

Gungor, V. C., & Hancke, G. P. (2009). Industrial wireless sensor networks: Challenges, design principles, and technical approaches. IEEE Transactions on Industrial Electronics, 56(10), 4258–4265. https://doi.org/10.1109/TIE.2009.2015754

Fathima, K.S.A., & Sindhanaiselvan, K. (2013). Ant colony optimization based routing in wireless sensor networks. International Journal of Advanced Networking and Applications, 4(4), 1686–1689.

I Putu Agus Eka Pratama dan Sinung Suakanto. (2015). Wireless Sensor Network. Bandung: Informatika.

Khatarkar, S., & Kamble, R. (2013). Wireless Sensor Network MAC Protocol: SMAC & TMAC. Indian Journal of Computer Science and Engineering (IJCSE), 4(4), 304–310. Retrieved from http://www.ijcse.com/docs/INDJCSE13-04-04-048.pdf%0Ahttp://search.ebscohost.com/login.aspx?direct=true&profile=ehost&scope=site&authtype=crawler&jrnl=22313850&AN=93527080&h=ZZdiMlGs6+JiMTNpmUyKAiySf0j2rTpxNUk3zX3dmZUTeCTMu4ARnBsxliPpX1AT6btMjnLJxX45vk3qB2

Accha, V., & Gupta, S. H. (2019). Performance analysis of wireless sensor network MAC protocols using NS-2. 2018 International Conference on Computing, Power and Communication Technologies, GUCON 2018, 859–862. https://doi.org/10.1109/GUCON.2018.8674996

Liu, T., & Jia, S. M. (2014). Research and improvement about LEACH algorithm for wireless sensor networks. Applied Mechanics and Materials, 599–601(Cmsam), 1954–1959. https://doi.org/10.4028/www.scientific.net/AMM.599-601.1954

Anchora, L., Capone, A., Mighali, V., Patrono, L., & Simone, F. (2014). A novel MAC scheduler to minimize the energy consumption in a Wireless Sensor Network. Ad Hoc Networks, 16, 88–104. https://doi.org/10.1016/j.adhoc.2013.12.002

Li, Z. T., Chen, Q., Zhu, G. M., Choi, Y. J., & Sekiya, H. (2015). A Low Latency, Energy Efficient MAC Protocol for Wireless Sensor Networks. International Journal of Distributed Sensor Networks, 2015(i). https://doi.org/10.1155/2015/946587

Chu, X., & Yan, Y. (2007). Performance evaluation of IEEE 802.11 infrastructure mode with intra-cell UDP traffic. Proceedings of the Second International Conference on Communications and Networking in China, ChinaCom 2007, 893–898. https://doi.org/10.1109/CHINACOM.2007.4469528