Empirical Validation for Energy Efficiency of DEAR routing protocol over AODV in IEEE802.15.4 based Wireless Sensor Networks
Piyush Charan1, Tahsin Usmani2, Rajeev Paulus3, Syed Hasan Saeed4
1Piyush Charan, Department of ECE, Integral University, Lucknow, India.
2Tahsin Usmani, Department of ECE, Integral University, Lucknow, India.
3Rajeev Paulus, Department of ECE, Sam Higginbottom University of Agriculture, Technology and Sciences (SHUATS), Allahabad, India.
4Syed Hasan Saeed, Department of ECE, Integral University, Lucknow, India.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 853-857| Volume-8 Issue-8, June 2019 | Retrieval Number: G5287058719/19©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: Energy conservation has been a priority research concern for embedded electronics and wireless sensor nodes. The major issues and challenges in WSNs have constrained resources, reliability and fault tolerance. Physically damaged and failed sensor nodes should not hinder the performance of the sensor network, and reliable data routing to the receiver determines the degree of network fault tolerance. Reducing energy consumption at the network layer can be achieved by incorporating energy efficient routing protocols for data dissemination and retrieval. One such solution was reported wherein a distributed energy aware routing (DEAR) protocol is incorporated with a localized cooperative caching algorithm CCZ for data retrieval with minimum latency and higher accuracy. The empirical validation of the same is required to authenticate the use of the proposed algorithm. In this paper, we choose AODV as the standard routing protocol and based on that a validation study is established to prove the efficacy of the proposed DEAR protocol with CCZ cooperative caching scheme. The Student’s two-tailed t-test is used as a statistical tool to validate the system. The t-test is a statistical hypothesis test in which the test statistic follows the student’s t-distribution under the null hypothesis.
Keyword: Empirical Validation, CCZ, Cooperative Caching, AODV, DEAR, T-test
Scope of the Article: Adhoc and Sensor Networks.