Fuzzy Based Data Gathering Model for Improving Network Lifetime in ADHOC Networking
K.Deeba1, S.Tamizharasi2, T.Vinoth Kumar3
1Dr.K.Deeba, Computer Science and Engineering, Kalaignar Karunanidhi Institute of Technology, Coimbatore, India.
2S.Tamizharasi, Electronics and Communication Engineering, RVS College of Engineering and Technology, Coimbatore, India.
3T.Vinoth Kumar, Electrical and Electronics Engineering, RVS College of Engineering and Technology, Coimbatore, India.
Manuscript received on September 22, 2019. | Revised Manuscript received on October 20, 2019. | Manuscript published on October 30, 2019. | PP: 2148-2154 | Volume-9 Issue-1, October 2019 | Retrieval Number: A9686109119/2019©BEIESP | DOI: 10.35940/ijeat.A9686.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In Adhoc Wireless Sensor Networks (AWSN), nodes are moving with less or high mobility. It is very difficult to Quality of Service (QoS) to achieve network performance. Paths can be identified based on network model and stable route formation. In a cluster region, data gathering ratio can be easily achieved but difficult to reach maximum level. In existing schemes, balancing between data gathering and security was not attained. In this paper, Fuzzy based Secure Data Gathering Approach (FSDGA) is proposed based on TDMA based scheduling and Asymmetric key crypto model. This approach consists of three phases. In first phase, cluster formation and cluster head election is done based on calculation of remaining energy and stability of nodes. In second phase, secure routes are identified with constant key metrics. In third phase, Fuzzy integrated Data transmission phase is installed to protect the data from attackers and improve the data collection rate. The performance of FSDGA is analysed using simulation tool in terms of energy conservation rate, propagation delay, data confidential rate, control overhead and data gathering ratio.
Keywords: WSN, FSDGA, cluster formation, secure routing, data collection, propagation delay and energy conservation rate