Performance Comparison in QoS and Energy Consumption for SAW and Fuzzy Topsis Algoritm in Wireless Sensor Network Routing

Galang Persada Nurani Hakim, Diah Septiyana, Akhmad Wahyu Dani, Fadli Sirait

Abstract


The Wireless Sensor Network technologies have provides us with cheap and unique solution to deal with telecommunication infrastructure problem that don’t exist in extreme and isolated area. To guarantee the quality of service of Wireless Sensor Network wireless data transmission, a lot of researchers propose to employ a routing algorithm, such as SAW and fuzzy topsis from MCDM algorithm. A lot of routing algorithm in Wireless Sensor Network was based on these algorithms. In this paper we propose to do simulation and real time energy measurement in order to determine the best MCDM algorithm to be use in Wireless Sensor Network routing. In QoS 3x4 node simulation Both algorithm has provide low delay 31 millisecond and low packet loss 16 bit. This good performance in QoS however has disadvantage which has higher hop quantity. In term of energy consumption SAW has less energy consumption (better) compare with fuzzy topsis for each microcontroller development platforms that we have test. Although it was small but we have difference in energy consumption between SAW and fuzzy topsis, for ESP32 it has difference 39 microJoule, for ESP8266 it has difference 129 microJoule and for ATMEGA328P it has difference 2 microJoule.

Keywords


Algorithm, Energy Consumption, Routing Wireless Sensor Network, SAW, TOPSIS

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References


ITU-T, “Recommendation ITU-T Y.2221: Requirements for Support of Ubiquitous Sensor Network (USN) Applications and Services in the NGN Environment.” p. 32, 2010.

A. M. Baharudin and W. Yan, “Long-range wireless sensor networks for geo-location tracking: Design and evaluation,” Proc. - 2016 Int. Electron. Symp. IES 2016, 2017, doi: 10.1109/ELECSYM.2016.7860979.

F. Arslan, “On the Wireless Sensor Network for Medical Instruments Monitoring System,” Int. J. Sci. Eng. Res., vol. 9, no. 8, pp. 88–96, 2018.

C. Del-Valle-Soto, C. Mex-Perera, J. A. Nolazco-Flores, R. Velázquez, and A. Rossa-Sierra, “Wireless sensor network energy model and its use in the optimization of routing protocols,” Energies, vol. 13, no. 3, pp. 1–33, 2020, doi: 10.3390/en13030728.

J. Polo, G. Hornero, C. Duijneveld, A. García, and O. Casas, “Design of a low-cost Wireless Sensor Network with UAV mobile node for agricultural applications,” Comput. Electron. Agric., vol. 119, pp. 19–32, 2015, doi: 10.1016/j.compag.2015.09.024.

S. A. Malek, S. D. Glaser, and R. C. Bales, “Wireless Sensor Networks for Improved Snow Water Equivalent and Runoff Estimates,” IEEE Access, vol. 7, pp. 18420–18436, 2019, doi: 10.1109/ACCESS.2019.2895397.

A. Balamurugan, M. P. Kumar, and R. M. kumar, “Intelligent Application of WSN for Forest Monitoring,” Int. J. Innov. Technol. Explor. Eng., vol. 9, no. 6, pp. 89–94, 2020, doi: 10.35940/ijitee.f3581.049620.

H. Sharma, A. Haque, and F. Blaabjerg, “Machine learning in wireless sensor networks for smart cities: A survey,” Electron., vol. 10, no. 9, p. 1012, 2021, doi: 10.3390/electronics10091012.

M. Ahmed, M. Salleh, M. I. Channa, and M. F. Rohani, “Energy efficient routing protocols for UWSN: A review,” Telkomnika (Telecommunication Comput. Electron. Control., vol. 15, no. 1, 2017, doi: 10.12928/TELKOMNIKA.v15i1.4706.

N. Azmi et al., “Interference issues and mitigation method in WSN 2.4GHz ISM band: A survey,” 2014 2nd Int. Conf. Electron. Des. ICED 2014, 2011, doi: 10.1109/ICED.2014.7015839.

Y. Yun and Y. Xia, “Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications,” IEEE Trans. Mob. Comput., vol. 9, no. 9, pp. 1308–1318, 2010, doi: 10.1109/TMC.2010.76.

A. Akbas, H. U. Yildiz, B. Tavli, and S. Uludag, “Joint Optimization of Transmission Power Level and Packet Size for WSN Lifetime Maximization,” IEEE Sens. J., vol. 16, no. 12, pp. 5084–5094, 2016, doi: 10.1109/JSEN.2016.2548661.

R. A. Uthra and S. V. K. Raja, “QoS routing in wireless sensor networks-A survey,” ACM Comput. Surv., vol. 45, no. 1, pp. 1–12, 2012, doi: 10.1145/2379776.2379785.

J. Kumar, V. Rishiwal, and M. I. Ansari, “Quality of Service in Wireless Sensor Networks: Imperatives and Challenges,” Int. J. Sensors, Wirel. Commun. Control, vol. 9, no. 4, pp. 419–431, 2019, doi: 10.2174/2210327909666190129154033.

B. S. Kim, B. Shah, F. Al-Obediat, S. Ullah, K. H. Kim, and K. Il Kim, “An enhanced mobility and temperature aware routing protocol through multi-criteria decision making method in wireless body area networks,” Appl. Sci., vol. 8, no. 11, p. 2245, 2018, doi: 10.3390/app8112245.

B. S. Kim, S. Ullah, K. H. Kim, B. S. Roh, J. H. Ham, and K. Il Kim, “An enhanced geographical routing protocol based on multi-criteria decision making method in mobile ad-hoc networks,” Ad Hoc Networks, vol. 103, no. 1, 2020, doi: 10.1016/j.adhoc.2020.102157.

X. Xu et al., “An energy-aware computation offloading method for smart edge computing in wireless metropolitan area networks,” J. Netw. Comput. Appl., vol. 133, no. 1, pp. 75–85, 2019, doi: 10.1016/j.jnca.2019.02.008.

A. Choudhary, M. Nizamuddin, and V. K. Sachan, “A Hybrid Fuzzy-Genetic Algorithm for Performance Optimization of Cyber Physical Wireless Body Area Networks,” Int. J. Fuzzy Syst., vol. 22, no. 1, 2020, doi: 10.1007/s40815-019-00751-6.

S. Murugaanandam and V. Ganapathy, “Reliability-based cluster head selection methodology using fuzzy logic for performance improvement in wsns,” IEEE Access, vol. 7, pp. 87357–87368, 2019, doi: 10.1109/ACCESS.2019.2923924.

D. Mehta and S. Saxena, “Hierarchical WSN protocol with fuzzy multi-criteria clustering and bio-inspired energy-efficient routing (FMCB-ER),” Multimed. Tools Appl., 2020, doi: 10.1007/s11042-020-09633-8.

R. Meri, “Simple Additive Weighting (SAW) Method on The Selection of New Teacher Candidates at Integrated Islamic Elementary School,” IJISTECH (International J. Inf. Syst. …, vol. 4, no. 1, pp. 428–435, 2020.

P. C. Fishburn, “Additive Utilities with Incomplete Product Sets: Application to Priorities and Assignments,” Oper. Res., vol. 15, no. 3, pp. 537–542, 1967, doi: 10.1287/opre.15.3.537.

A. Podviezko and V. Podvezko, “Influence of Data Transformation on Multicriteria Evaluation Result,” Procedia Eng., vol. 122, pp. 151–157, 2015, doi: 10.1016/j.proeng.2015.10.019.

L. A. Zadeh, “Fuzzy Sets,” Inf. Control, vol. 8, no. 3, pp. 338–353, 1965.

L. A. Zadeh, “The Concept of a Linguistic Variable and its Application to Approximate Reasoning,” Inf. Sci. (Ny)., vol. 8, no. 3, pp. 199–249, 1975.

R. E. Bellman and L. A. Zadeh, “Decision-Making In A Fuzzy Environment, NASA Contractor Report 1594,” 1970.

Iswanto and I. Ahmad, “Second-order integral fuzzy logic control based rocket tracking control,” J. Robot. Control, vol. 2, no. 6, pp. 594–604, 2021, doi: 10.18196/jrc.26142.

A. Adriansyah, Y. Gunardi, B. Badaruddin, and E. Ihsanto, “Goal-seeking Behavior-based Mobile Robot Using Particle Swarm Fuzzy Controller,” TELKOMNIKA (Telecommunication Comput. Electron. Control., vol. 13, no. 2, 2015, doi: 10.12928/telkomnika.v13i2.1111.

R. Kristiyono and W. Wiyono, “Autotuning Fuzzy PID Controller for Speed Control of BLDC Motor,” J. Robot. Control, vol. 2, no. 5, pp. 400–407, 2021, doi: 10.18196/jrc.25114.

B. AlKhlidi, A. T. Abdulsadda, and A. Al Bakri, “Optimal Robotic Path Planning Using Intlligents Search Algorithms,” J. Robot. Control, vol. 2, no. 6, pp. 519–526, 2021, doi: 10.18196/26132.

Z. Lin, C. Cui, and G. Wu, “Dynamic modeling and torque feedforward based optimal fuzzy pd control of a high-speed parallel manipulator,” J. Robot. Control, vol. 2, no. 6, pp. 527–538, 2021, doi: 10.18196/jrc.26133.

A. S. Rizal, A. Adriansyah, S. Budiyanto, S. C. Haryanti, and U. A. Rachmawati, “Overcurrent relay coordination using an adaptive neuro fuzzy inference systems (ANFIS),” EEA - Electroteh. Electron. Autom., vol. 68, no. 3, pp. 55–62, 2020, doi: 10.46904/eea.20.68.3.1108007.

S. Bipasha Biswas and M. Tariq Iqbal, “Solar Water Pumping System Control Using a Low Cost ESP32 Microcontroller,” Can. Conf. Electr. Comput. Eng., 2018, doi: 10.1109/CCECE.2018.8447749.

L. García et al., “Deployment strategies of soil monitoring wsn for precision agriculture irrigation scheduling in rural areas,” Sensors, vol. 21, no. 5, 2021, doi: 10.3390/s21051693.

Espressif Systems, “Datasheet ESP32 Series.” Espressif Systems, pp. 1–61, 2019.

M. Pulpito, P. Fornarelli, C. Pomo, P. Boccadoro, and L. A. Grieco, “On fast prototyping LoRaWAN: A cheap and open platform for daily experiments,” IET Wirel. Sens. Syst., vol. 8, no. 5, pp. 237–245, Oct. 2018, doi: 10.1049/IET-WSS.2018.5046.

Espressif Systems, “ESP8266EX.” Espressif Systems, 2020.

Atmel, “ATmega328P,” AVR Microcontrollers. 2016.

B. Thoen, G. Callebaut, G. Leenders, and S. Wielandt, “A deployable LPWAN platform for low-cost and energy-constrained iot applications,” Sensors (Switzerland), vol. 19, no. 3, Feb. 2019, doi: 10.3390/S19030585.

B. Delinchant, H. A. Dang, H. T. T. Vu, and D. Q. Nguyen, “Massive arrival of low-cost and low-consuming sensors in buildings: Towards new building energy services,” in IOP Conference Series: Earth and Environmental Science, 2019, doi: 10.1088/1755-1315/307/1/012006.

P. Ruberg, K. Lass, and P. Ellervee, “Microcontroller energy consumption estimation based on software analysis for embedded systems,” 2015 Nord. Circuits Syst. Conf. NORCAS 2015 NORCHIP Int. Symp. Syst. SoC 2015, 2015, doi: 10.1109/NORCHIP.2015.7364397.




DOI: http://dx.doi.org/10.22441/jte.2024.v15i2.008

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