Energy Efficient Cross Layer Based Multi-Hop Clustered Routing Protocol For Wireless Sensor Networks
Parvinder Singh1, Rajeshwar Singh2
1Parvinder Singh*, Research Scholar, ECE department, IK Gujral Punjab Technical University, Kapurthala, India.
2Rajeshwar Singh, Engineering department, Doaba Khalsa Trust Group of Institutions, SBS Nagar, India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 11996-12003 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9937118419/2019©BEIESP | DOI: 10.35940/ijrte.D9937.118419
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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: Wireless Sensor network becomes an essential part of Internet of things paradigm due their scalability, ease of deployment and user-friendly interface. However, certain issues like high energy consumption, low network lifetime and optimum quality of service requirement force researchers to develop new routing protocols. In WSNs, the routing protocols are utilized to obtain paths having high quality links and high residual energy nodes for forwarding data towards the sink. Clustering provide the better solution to the WSN challenges by creating access points in the form of cluster head (CH). However, CH must tolerate additional burden for coordinating network activities. After considering these issues, the proposed work designs a moth flame optimization (MFO) based Cross Layer Clustering Optimal (MFO-CLCO) algorithm to consequently optimize the network energy, network lifetime, network delay and network throughput. Multi-hop wireless communication between cluster heads (CHs) and base station (BS) is employed along with MFO to attain optimum path cost. The simulation results demonstrate that the proposed scheme outperforms existing schemes in terms of energy consumption, network lifetime, delay and throughput.
Keywords: WSNs, MFO, Network lifetime, Cross layer, Energy efficiency.
Scope of the Article: Energy Harvesting and Transfer for Wireless Sensor Networks.