Energy optimization of ant colony algorithm in wireless sensor network
An energy consumption optimization algorithm based on ant colony algorithm is proposed for wireless sensor network. The proposed algorithm allows each node in wireless sensor network to save the distance and residual energy of neighbor nodes. Furthermore, in terms of probability selection of the nod...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-04-01
|
| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717704831 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832545277367549952 |
|---|---|
| author | Peng Li Huqing Nie Lingfeng Qiu Ruchuan Wang |
| author_facet | Peng Li Huqing Nie Lingfeng Qiu Ruchuan Wang |
| author_sort | Peng Li |
| collection | DOAJ |
| description | An energy consumption optimization algorithm based on ant colony algorithm is proposed for wireless sensor network. The proposed algorithm allows each node in wireless sensor network to save the distance and residual energy of neighbor nodes. Furthermore, in terms of probability selection of the nodes and the pheromone update, this algorithm focuses on the next hop node through the comparison of distance between the nodes and the residual energy, which ensures less possibility of nodes with low energy selected as the next hop. Therefore, the proposed algorithm improves energy load balancing, stability of wireless sensor network and, eventually, extends the life span of the wireless sensor network. The simulation results show that the improved ant colony algorithm avoids too much energy consumption of a certain local node resulting in more uniform energy consumption for each node. |
| format | Article |
| id | doaj-art-fea3871de9e943459e01883ce2742af9 |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-04-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-fea3871de9e943459e01883ce2742af92025-02-03T07:26:22ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-04-011310.1177/1550147717704831Energy optimization of ant colony algorithm in wireless sensor networkPeng Li0Huqing Nie1Lingfeng Qiu2Ruchuan Wang3Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, ChinaSchool of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing, ChinaSchool of Computer Science & Technology, Nanjing University of Posts and Telecommunications, Nanjing, ChinaJiangsu High Technology Research Key Laboratory for Wireless Sensor Networks, Nanjing, ChinaAn energy consumption optimization algorithm based on ant colony algorithm is proposed for wireless sensor network. The proposed algorithm allows each node in wireless sensor network to save the distance and residual energy of neighbor nodes. Furthermore, in terms of probability selection of the nodes and the pheromone update, this algorithm focuses on the next hop node through the comparison of distance between the nodes and the residual energy, which ensures less possibility of nodes with low energy selected as the next hop. Therefore, the proposed algorithm improves energy load balancing, stability of wireless sensor network and, eventually, extends the life span of the wireless sensor network. The simulation results show that the improved ant colony algorithm avoids too much energy consumption of a certain local node resulting in more uniform energy consumption for each node.https://doi.org/10.1177/1550147717704831 |
| spellingShingle | Peng Li Huqing Nie Lingfeng Qiu Ruchuan Wang Energy optimization of ant colony algorithm in wireless sensor network International Journal of Distributed Sensor Networks |
| title | Energy optimization of ant colony algorithm in wireless sensor network |
| title_full | Energy optimization of ant colony algorithm in wireless sensor network |
| title_fullStr | Energy optimization of ant colony algorithm in wireless sensor network |
| title_full_unstemmed | Energy optimization of ant colony algorithm in wireless sensor network |
| title_short | Energy optimization of ant colony algorithm in wireless sensor network |
| title_sort | energy optimization of ant colony algorithm in wireless sensor network |
| url | https://doi.org/10.1177/1550147717704831 |
| work_keys_str_mv | AT pengli energyoptimizationofantcolonyalgorithminwirelesssensornetwork AT huqingnie energyoptimizationofantcolonyalgorithminwirelesssensornetwork AT lingfengqiu energyoptimizationofantcolonyalgorithminwirelesssensornetwork AT ruchuanwang energyoptimizationofantcolonyalgorithminwirelesssensornetwork |