Enhancing the Performance of Wireless Sensor Networks thorugh Clustering and Joint Routing with Mobile Sink
Sujeethadevi T1, Bhagyalakshmi L2,  Sanjay Kumar Suman3

1T. Sujeethadevi, Tata Consultancy Services, Chennai, India.
2Dr. L. Bhagyalakshmi, Department of ECE, Rajalakshmi Engineering College, Chennai, India.
3Dr. Sanjay Kumar Suman, Department of ECE, Malineni Lakshmaiah Women’s Engineering College, Guntur, AP, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 323-327| Volume-8 Issue-6, August 2019. | Retrieval Number: E7664068519 /2019©BEIESP| DOI: 10.35940/ijeat.E7664.088619
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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 wireless sensor network, randomly deployed nodes are formed as a clusters of varying size for each area depending upon the numbers of users. This paper deals with the cluster based joint routing with mobile sink and with static sink in cognitive based wireless sensor network. The Joint Routing (JR) is designed to overcome the problems, due to data gatherings of the sensor nodes for any application. Channel resources usually may vary among the different routing methods based on the traffic characteristics and application they require, which poses a great challenge to guarantee time delivery services. These problems poses a great challenge for cognitive radio based WSN. The resource allocation technique overcomes the problems like spatial priority, time delay, transmission delay and energy loss and here the channel resources are allocated with the help of TDMA technique. The static sink in networks consumes more energy which results the early die out of the nodes. Hence throughput of the networks declines which badly affect the network life time. To overcome these issues, static sink is replaced by mobile sink, which consumes less energy, before each transmission in a sensor networks. The networks with mobile sink provide us optimal solution and performance as well, while comparing with network with static sink. It is shown that the proposed system achieves 15% of improved throughput, 20% of less packet loss and 35% of less delay when compare with the system having centralized sink.
Keywords: Joint Routing, Cluster, mobile sink, TDMA, Static sink, Throughput, Packet Loss.