Energy Holes Minimization with Enhanced AEIAWSNHP Algorithm
Chinmaya Kumar Nayak1, Satyabrata Das2

1Chinmya Kumar Nayak*, Department of Computer Sc. & Engineering, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India.
2Satyabrata Das, Department of Information Technology, Veer Surendra Sai University of Technology (VSSUT), Burla, Odisha, India.
Manuscript received on November 22, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 2929-2933 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B2316129219/2019©BEIESP | DOI: 10.35940/ijeat.B2316.129219
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Abstract: The developments of wireless sensor network are motivated by many applications. It needs the Sensor nodes location. Sensor nodes are based primarily for identification procedure to resolve their significant position. In general, Sensor nodes are capable of some restricted power supply. As a result for detecting the power of sensor nodes an Identification algorithm is used by wireless sensor network. An Efficient Identify Algorithm for Wireless Sensor Networks with High Precession (AEIAWSNHP) is one efficient energy identification algorithm that has been proposed recently. In this work we examine the blow of using three techniques through the improvement of AEIAWSNHP in civilizing the energy efficient of enhanced AEIAWSNHP.At first, a Distinct-assessment Method, where a node estimate its location simply at one time. Secondly, active power manages; in this place the mention nodes decrease their communication power according to the gap to the node that transmits the position requirements. Third, an addition and expanding request speed method, that regulate the frequentness of dispatching the locate inquiry. The simulation result present that the new technique decreases the power utilization of the updated AEIAWSNH, Accuracy of the location assessment remains unchanged.
Keywords: Identify procedure; power competence; enhanced AEIAWSNHP; consecutive-enhancement identify algorithm; Wireless sensor network.