Improved Routing Algorithm in IoT Network by TOPSIS method.

Abstract

Low energy utilization and reliability in packet transmission are factors that seriously affect the performance of Wireless Sensor Network (WSN) and Quality of Service (QoS) in general. Regarding routing strategy, the efficient forwarding methods can cause more throughput, less packet loss with less energy usage. To this purpose multi-attribute, decision-making (MADM) methods are proposed in hop-by-hop sending data scenarios, as the most efficient methods in selecting the reliable path towards the sink node. In such a decision-making environment, various routing metrics are taken into account. This paper compares Wise Route routing protocol and modified-Wise Route (MwiseRoute) by TOPSIS with indexes (signal to noise ratio, residual energy, distance from the node, farness from the sink node) balances by self-sets weights (0.3, 0.5, 0.1,0.1) respectively. The evaluation has been tested on Mixim 3.2 in Omnet++.4.6. The result shows MwiseRoute with TOPSIS is more appropriate in gaining more throughput and significantly decreases packet drop in mac by less power drain. References Aziz, L. and Aznaoui, H. (2020) 'Efficient Routing Approach Using a Collaborative Strategy', Journal of Sensors, 2020, pp. 2547061. doi: 10.1155/2020/2547061 Foubert, B. and Mitton, N. (2021) 'RODENT: a flexible TOPSIS based routing protocol for multi-technology devices in wireless sensor networks', ITU Journal on Future and Evolving Technologies, 2(1). doi. Available at: https://hal.inria.fr/hal-03165426 Ghafoor, K. Z., Kong, L., Sadiq, A. S., Doukha, Z. and Shareef, F. M. 'Trust-aware routing protocol for mobile crowdsensing environments'. IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 15-19 April 2018, 82-87. Hajji, F. E., Leghris, C. and Douzi, K. (2018) 'Adaptive Routing Protocol for Lifetime Maximization in Multi-Constraint Wireless Sensor Networks', Journal of Communications and Information Networks, 3(1), pp. 67-83. doi: 10.1007/s41650-018-0008-3 Kamble, A. and Patil, B. ( 2020) 'Selection of Cluster Head Techniques in WSN: A Review', 2nd International Conference on IoT, Social, Mobile, Analytics & Cloud in Computational Vision & Bio-Engineering (ISMAC-CVB 2020), 3, pp. 7. doi: http://dx.doi.org/10.2139/ssrn.3734304 Karami, A. 'UTILIZATION AND COMPARISON OF MULTI ATTRIBUTE DECISION MAKING TECHNIQUES TO RANK BAYESIAN NETWORK OPTIONS Master Degree Project in Informatics One year Level ECTS 30 Spring term Year 2011'. Kaur, L. and Malhotra, J. (2015) 'Comparison of Wise Route and Flooding Network Type of Convergecast Routing in Wireless Sensor Network', International Journal of Sensor and Its Applications for Control Systems, 3, pp. 1-10. doi: 10.14257/ijsacs.2015.3.2.01 Kazmi, S., Liscano, R. and Ren, J. (2014) 'Determining Fuzzy Link Quality Membership Functions in Wireless Sensor Networks', Procedia Computer Science, 34, pp. 149-156. doi: https://doi.org/10.1016/j.procs.2014.07.073 Khan, B. M., Bilal, R. and Young, R. (2018) 'Fuzzy-TOPSIS based Cluster Head selection in mobile wireless sensor networks', Journal of Electrical Systems and Information Technology, 5(3), pp. 928-943. doi: https://doi.org/10.1016/j.jesit.2016.12.004 Kim, B.-S., Kim, K.-I., Chang, G., Kim, K. H., Roh, B. and Ham, J.-H. (2019a) 'Comprehensive Survey on Multi Attribute Decision Making Methods for Wireless Ad Hoc Networks', 2019, 20(5), pp. 14. doi. Available at: https://jit.ndhu.edu.tw/article/view/2139 Kim, B., Kim, K.-I., Chang, G., Kim, K. H., Roh, B. and Ham, J. (2019b) 'Comprehensive Survey on Multi Attribute Decision Making Methods for Wireless Ad Hoc Networks', Journal of Internet Technology, 20, pp. 1575-1588. doi: Kodali, R. K. and Malothu, V. K. 'MIXIM framework simulation of WSN with QoS'. 2016 International Conference on Advanced Communication Control and Computing Technologies (ICACCCT), 25-27 May 2016, 128-131. Odu, G. O. (2019) 'Weighting methods for multi-criteria decision making technique', 23 No. 8 (2019). doi: 10.4314/jasem.v23i8.7 Shelebaf, A. and Tabatabaei, S. (2020) 'A Novel Method for Clustering in WSNs via TOPSIS Multi-criteria Decision-Making Algorithm', Wireless Personal Communications, 112(2), pp. 985-1001. doi: 10.1007/s11277-020-07087-7 Smolka, T. a. s. (2011) 'MiXiM Tutorial', pp. 8. doi: Temur, G. T. (2016) 'A novel multi attribute decision making approach for location decision under high uncertainty', Applied Soft Computing, 40, pp. 674-682. doi: https://doi.org/10.1016/j.asoc.2015.12.027 Varga, A. and Hornig, R. (2008) An overview of the OMNeT++ simulation environment.