Extending the Lifetime of Wireless Sensor Networks using a Genetic Model for Defining Mobile Sinks
| Autor: | Sergio de Olivera, Marconi de Arruda Pereira, Pedro M. Shiroma, Rone S Ilídio, Cristiano M Silva |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Engineering
business.industry Distributed computing 010401 analytical chemistry 020206 networking & telecommunications Workload 02 engineering and technology Energy consumption 01 natural sciences Automation 0104 chemical sciences Key distribution in wireless sensor networks Embedded system Genetic model 0202 electrical engineering electronic engineering information engineering Wireless Routing (electronic design automation) business Wireless sensor network |
| Zdroj: | International Robotics & Automation Journal. 2 |
| ISSN: | 2574-8092 |
| DOI: | 10.15406/iratj.2017.02.00040 |
| Popis: | Mobile Sinks has been widely used in Wireless Sensor Networks WSNs to increase the network lifetime especially to distribute energy consumption among the nodes composing the network The development of low cost multi copters capable of autonomous flights turns this type of vehicle into a promising solution for acting as mobile sinks This work presents a new approach to the problem of routing multi copters to collect data in WSNs in order to extend the network lifetime We consider that each multi copter is allowed to stop in a pre defined number of points locations within a monitored area for collecting data from sensors We propose a genetic model that shows how the distribution of the nodes workload can extend the network lifetime Simulations are performed to adjust the parameters of the model and also to evaluate the performance of the proposed strategy |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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