International Journal on Recent and Innovation Trends in Computing and Communication ISSN: 2321-8169 Volume: 2 Issue: 9 2727 – 2730 _______________________________________________________________________________________________ 2727 IJRITCC | September 2014, Available @ http://www.ijritcc.org _______________________________________________________________________________________ An Energy Conservative System for Reducing DOS Factors using Network Simulator 2 Jagdish Bassi* Dept. of Computer Science & Enggineering Punjab Technical University, Jalandhar,India e-mail: rommy_btech@yahoo.co.in Taranjit Aulakh Dept. of Computer Science & Enggineering, Punjab Technical University, Jalandhar,India e-mail: taranaulakh@gmail.com Yogesh Singla Dept. of Computer Science & Enggineering, Punjab Technical University, Jalandhar,India e-mail: yksingla37@gmail.com Abstract —A wireless sensor network involves collection of wireless sensor nodes which are located to control various real time applications like pressures, weather, temperature, humidity, etc. So, Wireless sensor networks (WSNs) involve potential applications interacting with the physical world, such as surveillance and environmental monitoring. The sensor nodes of the network application mainly run on to the powered battery system and thus the network’s life is the liability of the battery’s power. Hence, to sustain a better optimal on limited power and security mechanism for the sensor network to be energy efficient anycast forwarding scheme is proposed and used in this paper. In the network each node has multiple next-hop relaying nodes in a candidate set (forwarding set), result in reducing the event-reporting delay and minimizing the power consumption. A sending node can forward the packet to the first node that wakes up in the forwarding set. Keywords- Sensor,Energy, Delay, Node,MAC, DSR. __________________________________________________*****_________________________________________________ I. INTRODUCTION A. Background The four major energy consumption activities are: energy consumed by communication radios; the energy consumed while transmission and reception of control packets; the energy required to keep sensors on; and energy consumed while data transmission and reception. The activity of data transmission and reception is a rarely occurring event and thus only a fraction of the total energy is consumed. But, the network sense events occur constantly with continous and uncontrolled energy consumption. Thus we propose extending the network’s lifetime by controlling the energy expended to keep the communication system on (for listening to the medium and for control packets).[1]. So, wireless systems while waiting for a packet to arrive consumes most of the energy. Hence, sleep wake scheduling is an effective mechanism to prolong the lifetime of these energy constrained wireless sensor networks. In sleep wake scheduling a transmitting node needs to wait for its next -hop relay node to wake up which may cause a substantial delay. This delay can be minimized by using some of the DSR techniques and packet forwarding schemes.[2]. B. Wireless Sensor Network Wireless ad-hoc network constitutes mobile nodes communicating over wireless links with processing capability, multiple types of memory (program, data and flash memories), RF transceiver, and power source and accommodating various sensors and actuators. There are two types of wireless sensor networks. 1) Structured 2) Unstructured The structured wireless sensor networks plan the deployment of sensor nodes while the deployment is in an ad- hoc manner in the unstructured wireless sensor networks. These wireless sensor nodes consume maximum energy while listening. We generally solve this problem by using duty cycling in the WSN. Time synchronization rules in critically for diverse purposes, including sensor data fusion, coordinated actuation, and power-efficient duty cycling [3]. Sensor nodes periodically switch between active and sleeping state, called as Duty cycling. These nodes transmit and receive data in the active state while going completely dormant in sleeping state in order to save energy. Here, synchronization between the operating cycles of different nodes is motivated as the radios of both machines must be on to transmit a packet from one machine to another. Example of protocols using synchronized approach: S-MAC, T-MAC, and RMAC [4]. We synchronize the current duty cycling MAC layer protocols for wireless sensor networks using explicit schedule exchanges or leave totally unsynchronized as both possess weaknesses and deficiencies. Duty cycle and packet transmissions are scheduled by periodic synchronization messages ( SMAC, TMAC and DMAC), which consume significant energy even at null traffic. BMAC wakes up receiver using unsynchronized duty cycling and long preambles mechanism. However, the long preamble mechanism has the following problems. First, the latency accumulated along multihop routes could be deluging due to the use of long preambles on each hop. Second, after the awakening of the receiver, the energy consumed on preamble transmission and reception is wasted. This all can be avoided if sender’s side is aware of the receiver’s wake up schedule and thus choosing the preamble length conservatively. Third, unneeded preamble overhearing by neighbour nodes other than the intended receiver by remaining awake till the last data packet transmission results in energy wastage. [5]-[6]. Figure 1. Basic Architecture of Wireless Sensor Netwrok