Qos-Mindful Channel Allocation in Directional Wireless Sensor Networks
A. Sasi Kumar1, S.P.Tamizhselvi2

1A.Sasi Kumar, Professor, Department of Information Technology, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies (VISTAS), Pallavaram, Chennai (Tamil Nadu), India.
2S.P.Tamizhselvi, Assistant Professor, Department of Computer Science and Engineering, KCG College of Technology, Karapakkam, Chennai (Tamil Nadu), India.

Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 1353-1358| Volume-8 Issue-5, June 2019 | Retrieval Number: E7201068519/19©BEIESP
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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 WSN, two important parameters play a vital role such as energy efficiency and data traffic. We need some QoS parameters to handle this issue. Hence, image and video sensors are introduced to allocate the channel which boosts up the energy in WSN. We proposed a novel QoS mindful channel allocation algorithm, QMCA (QoS-mindful Channel Allocation in Directional Wireless Sensor Networks) to support the data traffic in the network. Based on the priority, direct contact and cluster will allocate the channel. The advantage of the work is, it ensures bandwidth, delay, and throughput for real data. Enhanced QMCA system and EQMCA also proposed to improve the throughput by reducing the computational overhead. The results and implementation have been evaluated in the simulation to show the performance of delay and throughput.
Keywords: Wireless Sensor Network, QoS, Channel Allocation.

Scope of the Article: WSN