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Issue title: Soft Computing and Intelligent Systems: Techniques and Applications
Guest editors: Sabu M. Thampi and El-Sayed M. El-Alfy
Article type: Research Article
Authors: Amiripalli, Shanmuk Srinivas; * | Bobba, Veeramallu
Affiliations: Department of Computer Science and Engineering, K L University, Guntur, Andhra Pradesh, India
Correspondence: [*] Corresponding author. Shanmuk Srinvas Amiripalli, Department of Computer Science and Engineering, K L University, Guntur - 522502, Andhra Pradesh, India. E-mail: shanmuk39@gmail.com.
Abstract: In the year 2015 per person is having 3.47 devices that will be around 25 billion devices, In future years 2020 expected devices per person are 6.58 which is around 50 billion devices. From this statistic, major problems for IoT devices are scalability and survivability was identified. To address these problems a novel architecture design was proposed named as TGO (Trimet graph optimization) topology for Wireless sensor networks and IoT. As the number of devices increases, scalability increases leads to decrease of Quality of service (QoS). In this paper graph based solution was given for scalability and survivability using TGO topology. In Scalability model an algorithm and flowchart was proposed. Experiments are conducted on Star of star, TGO of TGO, Wheel of wheel networks. In analysis part we observed TGO consumes less power than star and wheel networks. For parameters like received packets, lost packets, hops etc. TGO lies between star and wheel. In Survivable model Hexagon and TGO are 2 edge survivable networks are compared, whereTGO shows better performance in all parameter.
Keywords: Wireless sensor network, peer to peer network, topology, graph optimization, quality of service
DOI: 10.3233/JIFS-169954
Journal: Journal of Intelligent & Fuzzy Systems, vol. 36, no. 3, pp. 2431-2442, 2019
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