International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056 Volume: 03 Issue: 06 | June-2016 www.irjet.net p-ISSN: 2395-0072 © 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 267 DESIGN AND SIMULATION OF AN INTELLIGENT SYSTEM PROTOCOL FOR WIRELESS SENSOR NETWORKS 1 MRS.NEELAM TAMBOLI, 2 MR. ROHIT MIRI 1 Mtech Scholar, CSE Department, Dr.C.V.Raman University, India 2 Assistant Professor , CSE Department, Dr.C.V.Raman University, India ---------------------------------------------------------------------***------------------------------------------------------------------- Abstract- A wireless sensor Network is a very large collection of sensor nodes which organized into different form like tree, mesh etc. This sensor nodes are work on the power source i.e. battery which is essential for its communication. To save the power of the network we used the scheduling technique with WSN to increase the life of the network. In sleep scheduling most of the nodes are put into sleep mode to increase the lifetime of the network. sleep scheduling is very important to become a network more efficient and flexible. Main aim of sleep scheduling algorithm is to live the network for long period of time. The different technique is used with the sleep scheduling like routing and tree based algorithm which is really improve the performance of the network. In the tree based network sink node is used with other sensor node with sleep scheduling but the sink having the unlimited energy supply which is always in active mode. In tree network sleep scheduling is apply with only with the nodes other than sink. In this research we are study the different types of sleep scheduling techniques like Energy- efficient Scheduling, Energy Efficient TDMA Sleep Scheduling, Balanced-energy Sleep Scheduling, Optimal Sleep Scheduling, and Dynamic Sleep Scheduling and methods used in it which work with the wireless sensor network for saving the energy of the sensor nodes and prolong the life of the network. Each technique of sleep scheduling is used for improving the efficiency of the network and every technique having some limitation while prolong the of the network. Key words: Wireless Sensor Networks, design, sleep scheduling like routing, knowledge-based routing, soft computing. 1 INTRODUCTION WSN could be a system of distributed autonomous devices referred to as sensors or nodes that are hand in glove sensing, computing and wirelessly act with one another. Nodes in WSN are severely unnatural in their power, memory and computations. The battery battery-powered nature of sensing elements vulnerable the sensor life time and thence the WSN life time. Size of the network will be flexibly modification by adding or removing nodes and this can erratically modification the topological construction of the network. The most challenges in WSN are battery capability, information measure and computing power. so as to increase network life time we want to preserve the number of power and to conserve the network energy [1]. Hence, routing and bunch algorithms applied to provide long-range and large-scale WSNs communications. Routing in WSN is disagree conventional routing in fastened networks. Choosing the shortest path between supply and sink isn't invariably mean best routing in WSNs. The scarce power in sensors challenges the routing protocol in WSNs [2]. thus an influence awareness primarily based routing algorithms ought to be introduced to preserve WSN power and thence extend the network life time. As a result of WSNs constrains and limitations, style of routing protocols for WSNs is difficult. Classical WSN routing protocols are categorized to 3 main categories: flat-based routing, hierarchical-based routing and location-based routing counting on the network structure [3]. To beat WSN challenges, the intelligence and suppleness of soppy computing paradigms in process the paradox and uncertainty of the information in complicated atmosphere has attract researches` attentions to the thought of using embedded soft computing strategies in WSN once preparation. The characteristics of soppy computing show nice analogy and compatibility in wireless sensing element networks particularly in power management approaches, self-decision creating techniques; knowledge-based routing and nodes process 2. RELATED WORK As wireless sensor network (WSN) is recently considered as one of the most important telecommunication technologies that proves its compatibility and reliability in many applications disciplines. Based on references [4] WSNs uniquely have the following distinctive characteristics: · Dense self-deployment: WSN is a huge distributed computational system. Large number of sensors are scattered and densely randomly deployed in the network environment. Sensors are configured autonomously as each sensor independently manages its self communication in the network [5]. · Limited processing and storage: Sensor nodes are small battery powered autonomous physical devices that highly limited in, computational capabilities and storage capacity.