Absolute sensing-Area Coverage Using extended Genetic Algorithm
Alоk Misra1, Divakar Singh Yadav2
1Alok Misra, Research Scholar, Department of Computer Science and Engineering, Dr. A.P.J. Abdul Kalam Technical University, Lucknоw (U.P), India.
2Divakar Singh Yadav, Department of Computer Science and Engineering, Institute of Engineering and Technology, Lucknоw (U.P), India.
Manuscript received on 18 April 2019 | Revised Manuscript received on 25 April 2019 | Manuscript published on 30 April 2019 | PP: 535-540 | Volume-8 Issue-4, April 2019 | Retrieval Number: C5905028319/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© 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: Wireless sensor networks have turn out to be more and more admired and have been extensively used in recent times. Wireless sensor networks typically comprises a hefty amount of sensors for diverse applications of sensing that includes medical, armed forces, civil, adversity management, environmental, and commercial applications. Sensors are device that produces a measurable response in changing the environmental conditions like temperature, humidity, pressure etc. As the sensor have the limited energy, to boost the duration of network and maintaining coverage preservation, we necessitate an approach that involves least sensors in communication of sensed data to base station, In this paper, we exploit the extended conception of genetic algorithm to circumvent gratuitous energy burning which is due to superfluous nodes.
Keywords: Energy-Efficiency, Full Coverage Preservation, Network Life Span Addition, Sensor Scheduling, WSNs
Scope of the Article: WSN