This paper is published in Volume-5, Issue-2, 2019
Area
Wireless Sensor Network
Author
Baljinder Singh, Amit Verma, Manit Kapoor, Dr. Naveen Dhillon
Org/Univ
Ramgarhia Institute of Engineering and Technology, Phagwara, Punjab, India
Pub. Date
09 April, 2019
Paper ID
V5I2-1755
Publisher
Keywords
WSN, Mobile sink, Energy efficient

Citationsacebook

IEEE
Baljinder Singh, Amit Verma, Manit Kapoor, Dr. Naveen Dhillon. An energy efficient approach for data aggregation in wireless sensor networks based on sink mobility, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Baljinder Singh, Amit Verma, Manit Kapoor, Dr. Naveen Dhillon (2019). An energy efficient approach for data aggregation in wireless sensor networks based on sink mobility. International Journal of Advance Research, Ideas and Innovations in Technology, 5(2) www.IJARIIT.com.

MLA
Baljinder Singh, Amit Verma, Manit Kapoor, Dr. Naveen Dhillon. "An energy efficient approach for data aggregation in wireless sensor networks based on sink mobility." International Journal of Advance Research, Ideas and Innovations in Technology 5.2 (2019). www.IJARIIT.com.

Abstract

A network that does not include any central controller and allows nodes to enter or leave the network at any time is known as a wireless sensor network. There are very small sized nodes deployed in these networks in large areas. The energy consumption of the nodes in these networks is a major concern since it directly affects the lifetime of the network. These dead node cause several problems. To enhance the network lifetime mobile sink is introduced which improve network performance. But mobile also leads to another challenge such as mobile sink scheduling and (re)routing. The complete network is divided into fixed size clusters and based on the energy and distance, cluster heads are chosen from the clusters. The remaining nodes of the cluster are considered to be individual. Several clustering algorithms have been designed by researchers which can be broadly categorized based on the manner in which clusters are formed and the kinds of parameters included during the selection of cluster heads. This research focuses on aggregating the data from cluster heads by deploying multiple mobile sinks. The bee colony algorithm is used to make the base station mobile. The simulation of the proposed technique is performed in MATLAB and results are analyzed in terms of various parameters.