Title :
Group search optimizer algorithm in wireless sensor network localization
Author :
Krishnaprabha, R. ; Aloor, Gopakumar
Author_Institution :
Dept. of ECE, MES Coll. of Eng., Kuttippuram, India
Abstract :
Localization is one of the main challenges in Wireless Sensor Networks. It is performed to determine the location information of sensor nodes in the network. When the sensors collect data and report events, it is important to know the origin of data and events. In this work, a nature-inspired population based optimization algorithm called Group Search Optimizer (GSO) is proposed for locating sensor nodes in a distributed WSN environment. WSN localization is formulated as a nonlinear optimization problem and solved using GSO. Performance evaluation of GSO based localization algorithm is carried out through simulations.
Keywords :
nonlinear programming; search problems; wireless sensor networks; GSO-based localization algorithm; distributed WSN environment; group search optimizer algorithm; nature-inspired population based optimization algorithm; nonlinear optimization problem; performance evaluation; sensor node location information determination; wireless sensor network localization; Animals; Linear programming; Optimization; Sociology; Standards; Statistics; Wireless sensor networks; Group Search Optimizer; Localization; Nature-inspired optimization; Wireless Sensor Networks;
Conference_Titel :
Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
Conference_Location :
New Delhi
Print_ISBN :
978-1-4799-3078-4
DOI :
10.1109/ICACCI.2014.6968626
