Comparison of particle swarm and ant colony optimization in wireless sensor network routing
Апстракт
Wireless Sensor Networks (WSNs) represent an indispensable means for data acquisition from
distributed devices within Industry 4.0. WSN consists of sensor nodes placed randomly in a plant. As a rule, their allocation does not provide the possibility for direct transmission of data between two nodes, and multi-hop data transfer is necessary. WSN energy efficiency is an important issue and to address it the communication effort should be minimized. One of the most effective ways to achieve this is routing, i.e. the process of finding the optimal path from the transmitting to the receiving node. In this paper, we compare four different routing algorithms, based on particle swarm and ant colony optimization.
Кључне речи:
Wireless Sensor Network / Routing / Particle Swarm Optimization / Ant Colony OptimizationИзвор:
Proceedings of the 12th International Scientific Conference, ETIKUM 2018, 2018, 33-36Издавач:
- University of Novi Sad, Faculty of Technical Sciences, Department of Production Engineering,
Финансирање / пројекти:
- Иновативни приступ у примени интелигентних технолошких система за производњу делова од лима заснован на еколошким принципима (RS-MESTD-Technological Development (TD or TR)-35004)
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Nedeljković, Dušan AU - Petrović, Milica AU - Jakovljević, Živana PY - 2018 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4921 AB - Wireless Sensor Networks (WSNs) represent an indispensable means for data acquisition from distributed devices within Industry 4.0. WSN consists of sensor nodes placed randomly in a plant. As a rule, their allocation does not provide the possibility for direct transmission of data between two nodes, and multi-hop data transfer is necessary. WSN energy efficiency is an important issue and to address it the communication effort should be minimized. One of the most effective ways to achieve this is routing, i.e. the process of finding the optimal path from the transmitting to the receiving node. In this paper, we compare four different routing algorithms, based on particle swarm and ant colony optimization. PB - University of Novi Sad, Faculty of Technical Sciences, Department of Production Engineering, C3 - Proceedings of the 12th International Scientific Conference, ETIKUM 2018 T1 - Comparison of particle swarm and ant colony optimization in wireless sensor network routing EP - 36 SP - 33 UR - https://hdl.handle.net/21.15107/rcub_machinery_4921 ER -
@conference{ author = "Nedeljković, Dušan and Petrović, Milica and Jakovljević, Živana", year = "2018", abstract = "Wireless Sensor Networks (WSNs) represent an indispensable means for data acquisition from distributed devices within Industry 4.0. WSN consists of sensor nodes placed randomly in a plant. As a rule, their allocation does not provide the possibility for direct transmission of data between two nodes, and multi-hop data transfer is necessary. WSN energy efficiency is an important issue and to address it the communication effort should be minimized. One of the most effective ways to achieve this is routing, i.e. the process of finding the optimal path from the transmitting to the receiving node. In this paper, we compare four different routing algorithms, based on particle swarm and ant colony optimization.", publisher = "University of Novi Sad, Faculty of Technical Sciences, Department of Production Engineering,", journal = "Proceedings of the 12th International Scientific Conference, ETIKUM 2018", title = "Comparison of particle swarm and ant colony optimization in wireless sensor network routing", pages = "36-33", url = "https://hdl.handle.net/21.15107/rcub_machinery_4921" }
Nedeljković, D., Petrović, M.,& Jakovljević, Ž.. (2018). Comparison of particle swarm and ant colony optimization in wireless sensor network routing. in Proceedings of the 12th International Scientific Conference, ETIKUM 2018 University of Novi Sad, Faculty of Technical Sciences, Department of Production Engineering,., 33-36. https://hdl.handle.net/21.15107/rcub_machinery_4921
Nedeljković D, Petrović M, Jakovljević Ž. Comparison of particle swarm and ant colony optimization in wireless sensor network routing. in Proceedings of the 12th International Scientific Conference, ETIKUM 2018. 2018;:33-36. https://hdl.handle.net/21.15107/rcub_machinery_4921 .
Nedeljković, Dušan, Petrović, Milica, Jakovljević, Živana, "Comparison of particle swarm and ant colony optimization in wireless sensor network routing" in Proceedings of the 12th International Scientific Conference, ETIKUM 2018 (2018):33-36, https://hdl.handle.net/21.15107/rcub_machinery_4921 .