Routing Path Estimation Based on RWS Method for Competent Energy Dissipation Employing X-Layer Network
Md. Khaja Mohiddin1, V. B. S. Srilatha Indira Dutt2
1Md. Khaja Mohiddin, Assistant Professor, Department of Electronics and Telecommunication Engineering, Bhilai Institute of Technology, Raipur, (C.G.), India.
2V. B. S. Srilatha Indira Dutt, Associate Professor, Department of Electronics and Communication Engineering, GITAM Institute of Technology, GITAM, Visakhapatnam, (Andhra Pradesh), India.
Manuscript received on 12 March 2019 | Revised Manuscript received on 18 March 2019 | Manuscript published on 30 July 2019 | PP: 6296-6303 | Volume-8 Issue-2, July 2019 | Retrieval Number: B3588078219/2019©BEIESP | DOI: 10.35940/ijrte.B3588.078219
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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 this paper, the implementation of Mobile Error Probability algorithm has been implemented to improve the output efficiency of the sensor nodes in the wireless network environment. According the WSNs is concerned, it’s very important to focus on residual energy of each node. The Mobile Error Probability algorithm support to this very strongly, it ultimately calculates the residual energy corresponding to the consumed energy by the node at each level of the beaconing. This is only applicable for the mobile node depending upon the distance between the nodes. If the distance exceeds the set limit, then only the node sends the beaconing signal else it will be in idle state. Besides, the above concept, the method of RWS is also been implemented to estimate the routing path which can be used for the transmission in minimum stipulated of time. Scheduling algorithm has been used for proper cycling of the node in various modes such as active, idle, sleep and dead conditions. All the above algorithms are been implemented in EQSR, ED as well as proposed model using NS-II simulation through results are also been examined.
Index Terms: 2-Ray Ground Propagation Model, AODV Protocol, Average Energy Consumption, End-End Delay, IEEE 802.15.4, Number of Alive Nodes, Roulette Wheel Selection (RWS) Method, System Throughput.
Scope of the Article: Routing and Transport Protocols