Energy Efficient Dynamic Multi-Hop Routing Technique in Wireless Sensor Networks
Anjali Thakur1, Kanika Sharma2
1Anjali Thakur*, Electronics and Communication Engineering, National Institute of Technical Teachers’ Training and Research, Chandigarh, India.
2Dr. Kanika Sharma, Electronics and Communication Engineering, NITTTR, Chandigarh, India.
Manuscript received on August 11, 2019. | Revised Manuscript received on August 28, 2019. | Manuscript published on August 30, 2019. | PP: 2942-2949 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8719088619/2019©BEIESP | DOI: 10.35940/ijeat.F8719.088619
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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 Networks (WSNs) main focus is on energy conservation and thus it is most researched area. The energy in WSN is highly consumed during data transmission. That’s why, many routing protocols are developed as their sole purpose is to consume less energy during data transmission. Dynamic Multi-Hop Routing (DMR) and Static Multi-Hop Routing (SMR) has provided efficient approach by forwarding nodes data to Base Station (BS) by splitting whole sensor network into several levels and each node acts according to its position and status but network suffers from hotspot problem for large area applications. This paper aims to present a new technique to avoid hotspot problem in by introducing Relay Cluster Head (RCH), node whose sole purpose is to relay the data for multi hop routing in WSN and to improve the Cluster Head (CH) selection in the existing techniques by incorporating energy and distance factors. The network is divided into levels and nodes in a cluster send their data to CH and CH in each level forwards its data to the RCH of the lower level (near to BS). It is observed from simulation results that proposed technique improves the lifetime, stability and throughput of the network as compared to the DMR and SMR techniques.
Keywords: Clustering; Lifetime; Stability; Throughput; Wireless Sensor networks