A Self-Deployment Algorithm for Maintaining Maximum Coverage and Connectivity in Underwater Acoustic Sensor Networks Based on an Ant Colony Optimization
The self-deployment of nodes with non-uniform coverage in underwater acoustic sensor networks (UASNs) is challenging because it is difficult to access the three-dimensional underwater environment. The problem is further complicated if network connectivity needs to be considered. In order to solve th...
Main Authors: | Hui Wang, Youming Li, Liliang Zhang, Yexian Fan, Zhiliang Li |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-04-01
|
Series: | Applied Sciences |
Subjects: | |
Online Access: | https://www.mdpi.com/2076-3417/9/7/1479 |
Similar Items
-
An Ant Colony Optimization Approach for the Deployment of Reliable Wireless Sensor Networks
by: Dina S. Deif, et al.
Published: (2017-01-01) -
Event-Driven Sensor Deployment in an Underwater Environment Using a Distributed Hybrid Fish Swarm Optimization Algorithm
by: Hui Wang, et al.
Published: (2018-09-01) -
Ant colony optimization /
by: 200931 Dorigo, Marco
Published: (2004) -
Ant based approach to the optimal deployment in wireless sensor networks
by: LIU Wei1, et al.
Published: (2009-01-01) -
Ant based approach to the optimal deployment in wireless sensor networks
by: LIU Wei1, et al.
Published: (2009-01-01)