Abstract
With increasing industries, the air pollution monitoring system has become the main challenge of intelligent cities. Several methods have been developed in APMS, and WSNs seem like the solution to sensors, because of less cost, and dense deployment. Thus, the deployment of the sensors is significant for better performance while assuring less economic cost. WSN is related to the set of distributed sensors for monitoring the PHY situations and arranging the gathered data at the central position. In this article, a comparative analysis is defined in routing protocols for WAPMS to study and defined the advantages and disadvantages. The conclusion showed the prior protocols into two different classes such as cluster and non-cluster based routing protocols. The cluster-based methods have designed the PHY network into virtual classes, whereas the non-cluster based protocols both use broadcasting tools for data communication cluster-based routing protocol, compared to LEACH; TLLEACH is based on the two-level cluster heads (CHs) with less communication distance, and less hop is necessary to transfer for distance to the base station. It reduces the average energy consumption. Their network parameters are calculated to E2D and energy in the network.
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References
Wei, Y., Heidemann, J., Estrin, D.: An energy-efficient MAC protocol for wireless sensor networks. In: Proceedings. Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, IEEE, vol. 3, pp. 1567–1576 (2016)
Ying, Y.W., Lo, K.M., Mak, T., Leung, K.S., Leung, Y., Meng, M.L.: A survey of wireless sensor network based air pollution monitoring systems. Sensors 15(12), 31392–31427 (2015)
Kadri, A., Yaacoub, E., Mushtaha, M., Abu-Dayya, A.: Wireless sensor network for real-time air pollution monitoring. In: 2013 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA), IEEE, pp. 1–5 (2013)
Abraham, S., Li, X.: A cost-effective wireless sensor network system for ındoor air quality monitoring applications. In: FNC/MobiSPC, pp. 165–171 (2014)
Bathiya, B., Srivastava, S., Mishra, B.: Air pollution monitoring using wireless sensor network. In: 2016 IEEE İnternational WIE Conference on Electrical and Computer Engineering (WIECON-ECE), IEEE, pp. 112–117 (2016)
Bhushan, B., Sahoo, G.: Routing protocols in wireless sensor networks. In: Computational İntelligence in Sensor Networks, pp. 215–248. Springer, Berlin, Heidelberg. (2019)
Patil, D., Thanuja, T.C., Melinamath, B.C.: Air pollution monitoring system using wireless sensor network (WSN). In: Data Management, Analytics and Innovation, pp. 391–400. Springer, Singapore. (2019).
Roopashree, J., Raghunath, C.R., Ravikumar, D. Low power EMC optimized wireless sensor network for air pollution monitoring system. Int. J. Recent Innovation Trends Comput. Commun. 3(6), 3532–3537 (2015)
Saini, J., Dutta, M., Marques, G.: A comprehensive review on indoor air quality monitoring systems for enhanced public health. Sustainable Environ. Res. 30(1), 6 (2020)
Mohamed, R.E., Saleh, A.I., Abdelrazzak, M., Samra, A.S.: Survey on wireless sensor network applications and energy efficient routing protocols. Wireless Pers. Commun. 101(2), 1019–1055 (2018)
Sun, J., Zhang, Z., Shen, S., Zou, Z.: An Improved Air Quality Monitoring System Based on Wireless Sensor Networks. In: Proceedings of the 2017 2nd International Conference on Communication and Information Systems, pp. 31–36 (2017)
Kaivonen, S., Ngai, E.C.-H.: Real-time air pollution monitoring with sensors on city bus. Digital Commun. Networks 6(1), 23–30 (2020)
Wei, C., Yang, J., Gao, Y., Zhang, Z.: Cluster-based routing protocols in wireless sensor networks: A survey. In: Proceedings of 2011 International Conference on Computer Science and Network Technology, IEEE, vol. 3, pp. 1659–1663 (2011)
Sumathi, J., Velusamy, R.L.: A review on distributed cluster based routing approaches in mobile wireless sensor networks. J. Ambient Intell. Hum. Comput. Springer (2020)
Hussain, I., Ahmed, Z.I., Saikia, D.K., Sarma, N.: A QoS-aware dynamic bandwidth allocation scheme for multi-hop WiFi-based long distance networks. EURASIP J. Wireless Commun. Networking 2015(1), 160 (2015)
Kakarla, J., Majhi, B., Battula, R.B.: Comparative analysis of routing protocols in wireless sensor–actor networks: a review. Int. J. Wireless Inf. Networks 22(3), 220–239 (2015)
Heinzelman, W.R., Chandrakasan, A., Balakrishnan, H.: Energy-efficient communication protocol for wireless microsensor networks. In: Proceedings of the 33rd Annual Hawaii Ä°nternational Conference on System Sciences, IEEE, p. 10 (2000)
Manjeshwar, A., Agrawal, D.P.: TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. In: Proceedings 15th International Parallel and Distributed Processing Symposium, Ä°PDPS, vol. 1, p. 189 (2001)
Yarinezhad, R.: Reducing delay and prolonging the lifetime of wireless sensor network using efficient routing protocol based on mobile sink and virtual infrastructure. Ad Hoc Netw. 84, 42–55 (2019)
Braman, A., Umapathi, G.R.: A comparative study on advances in LEACH routing protocol for wireless sensor networks: a survey. 3(2), 5883–5890 (2014)
Lindsey, S., Raghavendra, C., Sivalingam, K.M.: Data gathering algorithms in sensor networks using energy metrics. IEEE Trans. Parallel Distrib. Syst. 13(9), 924–935 (2002)
Durresi, A., Paruchuri, V.: Geometric broadcast protocol for sensor and actor networks. In: 19th International Conference on Advanced Information Networking and Applications (AINA'05) Volume 1 (AINA papers), IEEE, vol. 1, pp. 343–348 (2005)
Somauroo, A., Bassoo, V.: Energy-efficient genetic algorithm variants of PEGASIS for 3D wireless sensor networks. Appl. Comput. Inf. (2020)
Fuhrmann, T.: Scalable routing in sensor actuator networks with churn. In: 2006 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks, IEEE, vol. 1, pp. 30–39 (2006)
Zhou, Y., Ngai, E.C.-H., Lyu, M.R., Liu, J.: POWER-SPEED: a power-controlled real-time data transport protocol for wireless sensor-actuator networks. In: 2007 IEEE Wireless Communications and Networking Conference, IEEE, pp. 3736–3740 (2007)
Zafar, S., Bashir, A., Chaudhry, S.A.: Mobility-aware hierarchical clustering in mobile wireless sensor networks. IEEE Access 7, 20394–20403 (2019)
Luo, X., Yang, J.: A survey on pollution monitoring using sensor networks in environment protection. J. Sensors 2019 (2019)
Loscri, V., Morabito, G., Marano, S.: A two-levels hierarchy for low-energy adaptive clustering hierarchy (TL-LEACH). In: IEEE Vehicular Technology Conference, IEEE, 1999, vol. 62, no. 3, p. 1809, (2005)
Luo, H., Ye, F., Cheng, J., Lu, S., Zhang, L.: Ttdd: a two-tier data dissemination model for large-scale wireless sensor networks. J. Mobile Networks Appl. (MONET) (2003)
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Dixit, E., Jindal, V. (2022). The Comparison Analysis of Cluster and Non-cluster Based Routing Protocols for WAPMS (Wireless Air Pollution Monitoring System). In: Raj, J.S., Palanisamy, R., Perikos, I., Shi, Y. (eds) Intelligent Sustainable Systems. Lecture Notes in Networks and Systems, vol 213. Springer, Singapore. https://doi.org/10.1007/978-981-16-2422-3_12
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