Advances in Engineering & Scientific Research AESR 10|Volume 1|Issue 1|2015 1 Research Article PRECISION AGRICULTUREENERGY CONSERVATION IN WIRELESS SENSOR NETWORK (WSN) BY USING BIOINSPIRED QUORUM SENSING METHOD Rashid Hussain 1 , Neha Sharma 1 1 Department of Electronics & Communication Engineering, Suresh GyanVihar University, Jaipur, Rajasthan Correspondence should be addressed to Rashid Hussain Received July 01, 2015; Accepted July 25, 2015; Published September 02, 2015; Copyright: © 2015 Rashid Hussain et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Cite This Article:Hussain, R., Sharma, N.(2015). Precision Agriculture: Energy conservation in Wireless Sensor network (WSN) by using Bioinspired Quorum sensing Method. Advances in Engineering & Scientific Research,1(1).1- 5 ABSTRACT Wireless sensor network (WSN) is a network of independent nodes used for environment monitoring. At the same time WSN developers face challenges that come from failure of communication link due to limited energy. We need to integrate zero wastage and minimum energy consumption technology. As MAC protocol is more energy efficient protocol as compare to others Thus in this paper we use MAC protocol with continuous active/sleep mode rather than cyclic sleep mode. The major aim of this paper is to describe a bio inspired mechanisms using Quorum based technique that save energy at idle stage of the sensor. We try to extend the energy efficiency of sensors by estimating per sensor traffic load and using a grid based Quorum technique with MAC protocol continuous active and sleep schedule KEYWORDS: Wireless sensor network(wsn), Bio inspired Quorum Sensing Method INTRODUCTION Nowadays wireless sensor networks (WSNs) have reached at many unexpected fields and provide excellent cost performance that can be use practically in wide range of agriculture sector. Lifetime of wireless sensor network is one of the major concerns. Wireless sensors are battery dependent sensors, so it is necessary that they should be use limited energy to precede any desired task. Energy conservation is not only required due to the discharge of battery but also there are many other issues. Most of the part of the Energy is spend in the radio operation of the sensors even while sensor is asleep. Routing protocols in WSN’s should be targeted to reduce energy consumption and energy cost per packet. To increase the lifetime and to save energy of wireless sensor networks (WSNs) clustering method is used. For the local aggregation of data sensor nodes are together forms group that is called clustering. Clustering is an effective and practical method to enhance the performance of the system of WSNs. Energy can only be saved by applying communication protocol such as MAC layer protocol, routing protocol and transport protocol [1]. There are various protocol for the conservation of energy like LEACH, TEEN, APTEEN, PEGASIS etc. these are already being used. LEACH is a self-organized routing protocol that distributes the energy load equally among the sensor nodes [2]. The selection of a microprocessor becomes important in power aware design. Modern CMOS and micro-electro-mechanical systems (MEMS) technologies allowed manufacturers to produce a enhance generation of circuits by integrating sensors, signal conditioning, signal processing, digital output options, communications, and power supply units [3]. Solar energy harvesting is most suitable method for save energy. Because solar energy harvesting is produced by sunlight and then energy converted into the electricity. Solar energy harvesting wireless sensor network proposed ecofriendly solution of the challenges faced by conventional WSN [4]. Neural networks are use in energy efficient approaches of www.advancejournals.org Open Access Scientific Publisher