Please use this identifier to cite or link to this item:
https://ptsldigital.ukm.my/jspui/handle/123456789/577668| Title: | Coverage and lifetime optimization of wsn using evolutionary algorithms and collision free nearest neighbour assertion |
| Authors: | Vinodh P. Vijayan N. Kumar |
| Keywords: | Collision-Free Nearest Neighbour Assertion (CNNA) Genetic algorithm (GA) Multipath transmission Particle Swarm Optimisation (PSO) |
| Issue Date: | Jul-2016 |
| Description: | Multipath transmission of raw sensor signals is the customary technique used in the wireless sensor network to improve end-to-end delivery. However, this technique suffers significantly because of the occurrence of multiple copies of data at the destination and their collision. The Collision-Free Nearest Neighbour Assertion (CNNA) method with n-d tree structure improves the collision removal which, in turn, avoids duplicate packets, but load balancing among neighbouring nodes is an essential issue. Optimising network performance by considering various network parameters and load balancing the network demands a good evolutionary-based optimisation technique other than traditional algorithms. Optimisation techniques based on Particle Swarm Optimisation (PSO) and Genetic Algorithm (GA) are applied and compared against various network parameters in this work. |
| News Source: | Pertanika Journal of Social Sciences & Humanities |
| ISSN: | 0128-7680 |
| Volume: | 24 |
| Pages: | 371-379 |
| Publisher: | Universiti Putra Malaysia Press |
| Appears in Collections: | Journal Content Pages/ Kandungan Halaman Jurnal |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_82900+Source01+Source010.PDF | 541.28 kB | Adobe PDF |  View/Open |
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