Use of Energy Replenishment Model to Find Optimum Radio Propagation Model in Wireless Sensor Networks
Mohit Angurala1, Manju Bala2, Sukhvinder Singh Bamber3
1Mohit Angurala, Research Scholar, I. K. Gujral Punjab Technical University, Kapurthala, Punjab India.
2Manju Bala, Director, Khalsa College of Engineering and Technology, Amritsar, Punjab, India.
3Sukhvinder Singh Bamber, Assistant Professor, Panjab University SSG Regional Centre, Hoshiarpur, Punjab India.
Manuscript received on 7 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 08 July 2019 | PP: 26-32 | Volume-8 Issue-8S3 June 2019 | Retrieval Number: H10080688S319/19©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: Unreliability may occur during radio transmissions in Wireless Sensor Networks (WSNs) owing to the rigid constraints on battery power when wireless sensors hold low power radio transceivers. As a result, propagation patterns fluctuates because of which connections becomes unstable. Consequently, a precise radio propagation model is always pivotal for superior communication. Therefore, a Joint Energy Recharging with Load Balancing (J-ERLB) is implemented in WSNs to diversify the lifetime of the network. Moreover, this model is implemented in diverse propagation models to find optimum model for communication. Our numerical findings illustrate the comparison between Free Space Model, Shadowing Model and the Two-Ray Ground. The effectiveness of the proposed model is performed using the NS2 simulator.
Keywords: AODV, Load Balancing, Radio Propagation Model, WSNs.
Scope of the Article: WSN