Abstract
A low cost, low power personal area network is formalized by IEEE 802.15.4 standard ZigBee Wireless Sensor Network. The most common way to construct a WSN using ZigBee is to use tree type network topology. This leads to large amount of energy consumption because of congestion in network. The node failures in a network topology, results in reconstructing the route of existing structure. Thus, a Local automate based autonomic network architecture is deployed at the MAC layer of ZigBee protocol. The architecture considers previous occurrences of probabilities of nodes and learns their behavior during transmission. This record an active state of each node, that inturn reduces congestion when neighboring node failure occurs. Simulation results provide 20% increase in unicast and multicast delivery rate. Finally, throughput of an entire network in a larger density dynamic environment increases.
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References
Kong, L., Cao, Y., He, L., Chen, G., Wu, M., He, T.: Multi-rate selection in ZigBee. IEEE/ACM Trans. Netw. 27(3), 1055–1068 (2019)
Li, P., Yan, Y., Yang, P., Li, X., Lin, Q.: Correction to “coexist Wi-Fi for ZigBee networks With fine-grained frequency approach’’. IEEE Access 7, 170474–170484 (2019)
Chen, H., Meng, C., Shan, Z., Fu, Z., Bhargava, B.: A Novel low-rate denial of service attack detection approach in ZigBee wireless sensor network by combining hilbert-huang transformation and trust evaluation. IEEE Access 7, 32853–32866 (2019)
Vayssade, T., Azais, F., Latorre, L., Lefevre, F.: Low-cost digital test solution for symbol error detection of RF ZigBee transmitters. IEEE Trans. Device Mater. Reliab. 19(1), 16–24 (2019)
Alwan, O., Rao, K.P.: Dedicated real-time monitoring system for health care using ZigBee. Healthc. Technol. Lett. 4(4), 142–144 (2017)
Gao, M., Wang, P., Wang, Y., Yao, L.: Self-powered ZigBee wireless sensor nodes for railway condition monitoring. IEEE Trans. Intell. Transp. Syst. 19(3), 900–909 (2018)
Ding, F., Song, A., Zhang, D., Tong, E., Pan, Z., You, X.: Interference-aware wireless networks for home monitoring and performance evaluation. IEEE Trans. Autom. Sci. Eng. 15(3), 1286–1297 (2018)
Shao, C., Park, H., Roh, H., Lee, W.: DOTA: physical-layer decomposing and threading for ZigBee/Wi-Fi Co-transmission. IEEE Wirel. Commun. Lett. 8(1), 133–136 (2019)
Wang, Z., Kong, L., Xu, K., Chen, G., He, L.: PPM: preamble and postamble-based multi-packet reception for green ZigBee communication. IEEE Trans. Green Commun. Netw. 3(3), 817–827 (2019)
Alvarez, Y., Heras, F.L.: ZigBee-based sensor network for indoor location and tracking applications. IEEE Lat. Am. Trans. 14(7), 3208–3214 (2016)
Hebbar, S., Pattar, P., Golla, V.: A mobile ZigBee module in a traffic control system. IEEE Potentials 35(1), 19–23 (2016)
Bihl, T., Bauer, K., Temple, M.: Feature selection for RF fingerprinting with multiple discriminant analysis and using ZigBee device emissions. IEEE Trans. Inf. Forensics Secur. 11(8), 1862–1874 (2016)
Guardarrama, J., Freire, R., Areu, O.: A proposed wireless system to real time monitoring in power transformer. IEEE Lat. Am. Trans. 14(4), 1570–1574 (2016)
Ndih, E.M., Cherkaoui, S.: On enhancing technology coexistence in the IoT era: ZigBee and 802.11 case. IEEE Access 4, 1835–1844 (2016)
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Sanjay, K.N., Shaila, K., Venugopal, K.R. (2021). Improved Packet Delivery for Wireless Sensor Networks Using Local Automate Based Autonomic Network Architecture in a ZigBee Environment. In: Vinh, P.C., Rakib, A. (eds) Context-Aware Systems and Applications, and Nature of Computation and Communication. ICCASA ICTCC 2020 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-030-67101-3_24
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DOI: https://doi.org/10.1007/978-3-030-67101-3_24
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