International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
Call for Papers | Fully Refereed | Open Access | Double Blind Peer Reviewed

ISSN: 2319-7064


Downloads: 123 | Views: 197

Survey Paper | Computer Science & Engineering | India | Volume 5 Issue 2, February 2016


Survey on Efficient Clustering with Energy Aware Routing in Wireless Sensor Networks

Anita Chavan | Simran Khiani [5]


Abstract: Wireless Sensor Networks (WSNs) are defined as dynamic, self-deployed, highly constrained structured network. The WSN is a special kind of network which consists of large number of sensors and minimum one base station. Main difference between the WSN and the traditional wireless networks is that sensors are extremely sensitive to energy consumption. Energy saving and load balancing are the crucial issue in designing the wireless sensor networks. Load balancing can be used to extend the lifetime of a sensor network by reducing energy consumption. Load balancing with clustering can increase network scalability and clustering can also used to achieve self organization, power saving, channel access, routing. The lifetime of network, depends on various parameters such as number of nodes, strength, range of area and connectivity of nodes in the network. Sensor nodes in wireless sensor network are depends on battery power they have limited transmission and reception range thus energy efficiency plays a vital role to minimize the overhead through which the Network Lifetime can be achieved. In this paper we are over viewing techniques which are used in wireless sensor network for load balancing and improving lifetime of network also we discussed the system which we are going to implement.


Keywords: wireless sensor network, clustering, reliability, load balancing, overhead, network lifetime


Edition: Volume 5 Issue 2, February 2016,


Pages: 2115 - 2118


How to Download this Article?

Type Your Valid Email Address below to Receive the Article PDF Link


Verification Code will appear in 2 Seconds ... Wait

Top