Localization Using Bat Algorithm in Wireless Sensor Network

Author(s):  
Ramandeep Kaur ◽  
Gurpreet Singh Saini
2017 ◽  
Vol 1 (1) ◽  
pp. e7 ◽  
Author(s):  
Miloud Mihoubi ◽  
Abdellatif Rahmoun ◽  
Pascal Lorenz ◽  
Noureddine Lasla

Today, the Wireless Sensor Network (WSN) is emerging to be a very promising technology to be employed in the future. There were different protocols in energy-efficient routing that were designed and further developed for the WSNs for the purpose of supporting data delivery given to their respective destinations. The different techniques of clustering are perused widely by different researchers for increasing their objectives of scalability and also their lifetime. There have been many protocols used for the creation of a hierarchical structure to reduce the cost of the path at the time of making any communication to the base station. This work increases an energy lifetime and the stability of the network in an efficient manner within the protocols of clustering for which several protocols were suggested. Discussion is made on the Bat Algorithm (BA), the Bat algorithm along with mutation and the Genetic Algorithm (GA). This BAT algorithm had search abilities with various applications to solve problems in engineering. There was viability for the mutated BAT algorithms observed in various tasks that were proven and were shown by the empirical outcomes thus making the proposed scheme to perform better in comparison with all schemes


2013 ◽  
Vol 6 (3) ◽  
pp. 351-358 ◽  
Author(s):  
Sonia Goyal ◽  
Manjeet Singh Patterh

Many applications of wireless sensor networks (WSN) require information about the geographical location of each sensor node. Devices that form WSN are expected to be remotely deployed in large numbers in a sensing field, and to self -organize to perform sensing and acting task. The goal of localization is to assign geographical coordinates to each device with unknown position in the deployment area. Recently, the popular strategy is to apply optimization algorithms to solve the localization problem. In this paper, the bat algorithm is implemented to estimate the sensor‟s position.


2018 ◽  
Vol 22 (10) ◽  
pp. 2120-2123 ◽  
Author(s):  
Chun Kit Ng ◽  
Chun Ho Wu ◽  
Wai Hung Ip ◽  
Kai Leung Yung

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