Energy-Efficient Unequal Clustering Routing Algorithm for WSNs
Priyanka Handa1, Tripatjot Singh Panag2, Balwinder Singh Sohi3
1Priyanka handa, Department Electronics and communication engg., research scholar at IKGPTU, Jalandhar, Punjab, India.
2Tripatjot singh panag, Asstt. Prof., Department, Electronics and communication engg., BBSBEC, Fatehgarh Sahib, Punjab, India.
3Balwinder Singh Sohi, Department Electronics and communication engg., Director, CGC, Gharuan, Mohali, Punjab, India.
Manuscript received on 10 August 2019. | Revised Manuscript received on 14 August 2019. | Manuscript published on 30 September 2019. | PP: 5540-5548 | Volume-8 Issue-3 September 2019 | Retrieval Number: C5476098319/2019©BEIESP | DOI: 10.35940/ijrte.C5476.098319
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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 networks(WSNs) are used to monitor the environment where the networks are deployed. The Lifetime of WSNs can be increased by energy-efficient or energy balancing algorithms. Balanced energy consumption among all nodes is the main issue. In this paper, a new energy-efficient unequal clustering routing protocol (EEUCR) has been presented. In this protocol, the area of the network is divided into the number of rings of unequal size and each ring is further divided into a number of clusters. Rings nearer to the base station(BS) have a smaller area and the area of rings keeps on increasing as the distance from BS increases. This helps to balance the energy consumption among the sensor nodes. The nodes with heterogeneous energy are deployed in the network. Nodes nearer to the base station have higher energy as compared to farther nodes. Static clustering is used but cluster heads(CHs) are not fixed and are elected on the basis of the remaining energy of the sensor node. Simulation results are compared with existing protocols and show improvement in energy consumption, which, in turn, increases the network lifetime of WSN and also balance the energy consumption of sensor nodes.
Keywords: Energy Balancing, Hotspot Problem, Network Lifetime, Unequal Clustering, Wireless Sensor Networks.
Scope of the Article: Energy Efficient Building Technology