Ant Colony Optimization Based Quality of Service Aware Energy Balancing Secure Routing Algorithm for Wireless Sensor Networks

2021 ◽  
Vol 68 (1) ◽  
pp. 170-182 ◽  
Author(s):  
Manisha Rathee ◽  
Sushil Kumar ◽  
Amir H. Gandomi ◽  
Kumar Dilip ◽  
Balamurugan Balusamy ◽  
...  
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Routing Algorithm ◽  
Secure Routing ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Energy Balancing

scholarly journals A Quality of Service Routing Algorithm in Wireless Sensor Networks

2017 ◽  
Vol 13 (07) ◽  
pp. 47
Author(s):  
Xiaoqing Yang
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Routing Algorithm ◽  
Secure Routing ◽  
Ant Colony ◽  
Wireless Sensor ◽  
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<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">An Quality of Service(QOS) secure routing algorithm based on ant colony optimization is put forward to solve a variety of security problems in wireless sensor networks. The algorithm combines the ant colony optimization algorithm with the cr</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-bidi-language: AR-SA;" lang="EN-US">edit evaluation mechanism, and introduces the node 's credit as the control factor to obtain better security performance. The algorithm first cuts the network topology according to the QOS requirements, kicks out the nodes that do not meet the QOS requirements, and then quickly converges the route to the optimal route according to the ant colony optimization method. Finally, the security analysis of the algorithm is carried out from various aspects of network layer attack.</span><span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-ansi-language: EN-US; mso-fareast-font-family: 宋体; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US"> The experimental results show that the algorithm has very good performance in wireless sensor networks. As a result, it is concluded that it can be widely applied in wireless sensor networks.</span>

scholarly journals Clustered chain founded on ant colony optimization energy efficient routing scheme for under-water wireless sensor networks

2021 ◽  
Vol 11 (6) ◽  
pp. 5197
Author(s):  
Djilali Moussaoui ◽  
Mourad Hadjila ◽  
Sidi Mohammed Hadj Irid ◽  
Sihem Souiki
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Ant Colony Optimization ◽  
Energy Efficient ◽  
Routing Algorithm ◽  
Cluster Head ◽  
Head Rotation ◽  
Ant Colony ◽  
Wireless Sensor ◽  
Energy Efficient Routing

One challenge in under-water wireless sensor networks (UWSN) is to find ways to improve the life duration of networks, since it is difficult to replace or recharge batteries in sensors by the solar energy. Thus, designing an energy-efficient protocol remains as a critical task. Many cluster-based routing protocols have been suggested with the goal of reducing overall energy consumption through data aggregation and balancing energy through cluster-head rotation. However, the majority of current protocols are concerned with load balancing within each cluster. In this paper we propose a clustered chain-based energy efficient routing algorithm called CCRA that can combine fuzzy c-means (FCM) and ant colony optimization (ACO) create and manage the data transmission in the network. Our analysis and results of simulations show a better energy management in the network.

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