Energy Efficient Clustering Of Wireless Sensor Networks

maximization of network lifetime [8]. This protocol is also divided into two phase: 1. Clustering and 2. Routing of aggregated data. In clustering phase, a fixed topological arrangement is done by sensor nodes. In the data aggregation phase, heuristic is proposed. The advantage is that it provides energy efficiency and network lifetime also be increased.

Norton (Ed.). (2006). Computing Fundamentals. [University of Phoenix Custom Edition e-Text]. New York, New York: McGraw-Hill. Retrieved January 21, 2011, from CIS105 - Computers-Inside and Out.

Author: Sunil Sanka, Chittaranjan Hota, Muttukrishnan Rajarajan, Computer Science and Information Systems Group, Birla Institute of Technology and Science-Pilani

Dept. of Computer Engineering, Bhivarabai Sawant Institute Of Technology and Reasearch, Wagholi, Pune, India 1

to my satisfaction and submitted the same during the academic year 2015-2016 towards the partial fulfillment of degree of Bachelor of Engineering under Pune University, under the Department of Computer Engineering , MIT College of Engineering, Pune.

1 M. Tech Scholar, Department of Computer Science & Engineering, Maharashtra Institute of Technology (MIT), Aurangabad, Maharashtra, India

Tarique Haider1 and Mariam Yusuf “A Fuzzy Approach to Energy Optimized Routing for Wireless Sensor Networks”

With the furtherance of computer networks extending boundaries and joining distant locations, wireless sensor networks (WSN) emerged as the new frontier in developing opportunities in order to collect and process data from remote locations. A wireless sensor network is a collection of nodes organized in a cooperative manner. Multiple sensor nodes arranged in proximity to sense an event and subsequently transmit sensed and collected information to a remote processing unit or base station. The nodes are able to communicate wirelessly and often self-organize after being deployed in an ad hoc fashion. More than 1000s or even 10,000 nodes are expected. Currently, wireless sensor

heterogeneous scheme in which all sensor nodes have a different amount of energy as each node is assigned with various task [20] such as SEP[21], DEEC[22]. In this paper, we propose and analyze a novel cluster head selection scheme based on the deployment of nodes in different regions for heterogeneous wireless sensor networks (HWSNs) which is named as RBETSSEP.

A Wireless Sensor Network usually is formed by numerous wireless sensor devices. Routing is an important mechanism which will help the data to get forwarded to the right destination. Internet Protocol is an important protocol which helps in routing process. Generally the nodes in a Wireless Sensor Network are integrated and routing using IP version 4 is difficult as the address space is limited. IP version 4 uses 32 bit addressing mechanism which is not sufficient to complete the routing process. The other option is the use of Internet Protocol version 6.

Abstract-Key management is one of the most important issues of any secure communication with the increasing demand for the security in wireless sensor networks (WSNs) it is important to introduce the secure and reliable key management in the WSNs.Data confidentiality and authenticity are critical in WSNs. Key management objective is to secure and keep up secure connections between sensor nodes at network formation and running stages.

The main problem in wireless sensor network is energy consumption. Because of energy consumption lifetime of wireless sensor network is decreased. In wireless sensor network, all sensor nodes generate data and send data to a single node called as sink (base station), via multi-hop transmissions. When all the sensor nodes collect data and forward that data to a single base station through multi-hop routing, the traffic pattern is highly non-uniform, this procedure puts a high burden on the sensor nodes which are close to the base station. Some strategies are used that balance the energy consumption of the nodes and helps to ensure maximum network lifetime by balancing the load are proposed and analysed.

Abstract— The ultimate aim of a wireless sensor network is to provide accurate and reliable information regarding the environment in which the sensors are deployed. Among the various applications of a sensor network, target tracking is the one of the key application of WSNs. In existing system To design a Face Track for detecting the movement of a target in polygon. Develop a brink detection algorithm used to reconstruct another conceptual polygon. Optimal node selection algorithm to select which sensor of spatial region to track data. All wireless sensors are activated and idle listening is a major source of energy waste. Once an active sensor runs out of energy, that sensors are not present in the network. So communication is not fully completed. We enhance the proposed algorithm Probability-Based Prediction and Sleep Scheduling (PPSS) to overcome this problem also it improve the power efficiency and increase the network life time.

1, 2,3,4,5 Department of Information Technology, Sinhgad Academy of Engineering, Savitribai Phule Pune University, India

Department of Telecommunication Engineering, University College of Engineering & Technology, The Islamia University of Bahawalpur, Pakistan.