A Precise Hybrid Approach for Energy Conservation in Mobile Ad-Hoc Networks

Notice: Undefined variable: link_article in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 818

Notice: Undefined property: stdClass::$image in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 818

Notice: Undefined variable: title in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 818

Notice: Undefined offset: 1 in /home/ijtc/public_html/plugins/content/bt_socialshare/bt_socialshare.php on line 820
File Size:
1.39 MB
Volume 3, Issue 7 (July, 2017)
Publication No:
Priyanka Bansal, Er. Sukhpreet Kaur

Notice: Undefined variable: pdFileDate in /home/ijtc/public_html/components/com_phocadownload/views/file/tmpl/default.php on line 277
5 x

This paper deals with the optimization approach in terms of energy minimization in mobile ad-hoc networks. The optimization is done using hybridization of two optimization algorithms named as swarm optimization i.e. firefly and bio inspired i.e. Genetic algorithm. Depending on the network structure, different routing schemes fall into this category. Sensor network can be non-hierarchical or flat in the sense that every sensor has the same role and functionality. Alternatively, a sensor network can be hierarchical or cluster-based hierarchical model, where the network is divided into clusters comprising of number of nodes but energy is always remain one of the main constraint in mobile ad-hoc networks. The simulation is done in MATLAB environment.

Mobile Ad-hoc networks, Energy minimization, optimization, network lifetime