Performance Analysis of Heterogeneous Wireless Sensor Network using MIMO Concept
Lakshmi M1, Prashanth C R2
1Mrs.M.Lakshmi*, Department of Telecommunication Engineering, Dr. Ambedkar Institute of Technology, Bangalore, India.
2Dr.Prashanth.C.R, Department of Telecommunication Engineering,, Dr. Ambedkar Institute of Technology, Bangalore, India
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 3461-3471 | Volume-8 Issue-12, October 2019. | Retrieval Number: L26061081219/2019©BEIESP | DOI: 10.35940/ijitee.L2606.1081219
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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 a distributed Wireless Communication Technology, the Wireless Sensor Network (WSN) is a technology developing for sensing and performing different monitoring operations. The proposed algorithm dynamically partitions the Heterogeneous Wireless Sensor Network (HWSN) in to clusters. On the basis of initial energy, the cluster head (CH) is selected in the first round and residual energy with low draining rate protocol (RELDR) is used in the next round for selecting CH. The CH senses and aggregates the data, these summarized data is processed between the clusters and the link is maintained with the base station. Cluster Authority (CA) is a member node that acts as a supervising node which contains remove list and maintains the attacker information. The Technology Multiple Input and Multiple Output(MIMO) is used in the proposed system which reduces the noise in the signal and improves the network performance. During transmission, the unauthenticated nodes which are responsible for data leakage or any malicious activities are detected by the algorithm and information of these nodes are updated in the remove list of CA. The listed unauthenticated nodes or the black hole attack nodes in CA are removed from the network. The proposed algorithm removes the malicious nodes which are affecting the network performance and reconstructs the network by considering only the legitimate nodes. Experimental results will be analyzed for the network parameters like throughput, delay, energy and Packet delivery ratio and compared with the existing systems.
Keywords: HWSN, Cluster Formation, Authentication, Cluster Authority, Black hole attack, MIMO.
Scope of the Article: Clustering