
Energy Holes Minimization with Enhanced AEIAWSNHP Algorithm
Author(s) -
Chinmay Kumar Nayak,
Satyabrata Das
Publication year - 2019
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.b2316.129219
Subject(s) - wireless sensor network , identification (biology) , node (physics) , computer science , key distribution in wireless sensor networks , algorithm , position (finance) , energy (signal processing) , power (physics) , minification , wireless , sensor node , real time computing , computer network , wireless network , engineering , telecommunications , mathematics , statistics , botany , physics , structural engineering , finance , quantum mechanics , economics , biology , programming language
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.