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Ant Colony System for Energy Consumption Optimization in Mobile IoT Networks.
- Source :
- Journal of Circuits, Systems & Computers; Jul2020, Vol. 29 Issue 9, pN.PAG-N.PAG, 17p
- Publication Year :
- 2020
-
Abstract
- In this paper, a new algorithm is proposed for computing the node-disjoint optimal transmission energy consumption route for coded cooperative mobile IoT networks. Inspired by the potential benefits user cooperation can provide, we incorporate user cooperation to the mobile ad-hoc multi-hop IoT networks. Our results include a novel ant colony system-based node-disjoint energy-efficient routing algorithm. Ant colony system can approximate the optimal route by local information and is thus very suitable for mobile IoT network environment. In particular, ant algorithm makes history-sensitive choice and thus can significantly outperform the greedy algorithm. In addition, it can efficiently handle the case of multiple sources and multiple destinations. For a large IoT network, we investigate the multi-scale ant colony system and when compared to Dijkstra algorithm, such an algorithm usually shortens the runtime by a factor of several hundred. [ABSTRACT FROM AUTHOR]
- Subjects :
- ENERGY consumption
ANT algorithms
GREEDY algorithms
ALGORITHMS
Subjects
Details
- Language :
- English
- ISSN :
- 02181266
- Volume :
- 29
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- Journal of Circuits, Systems & Computers
- Publication Type :
- Academic Journal
- Accession number :
- 144785274
- Full Text :
- https://doi.org/10.1142/S0218126620501509