Abstract
With the evolution of electronics, wireless sensor networks have been very popular in many domains of human life such as health, industry and military. This popularity has taken the attention on to the researches about wireless sensor networks. Wireless Sensor Networks are especially very favorable in conditions where it is physically difficult and dangerous for human being to gather information. Therefore, lifetime of those networks must be prolonged as much as possible, since it will be also infeasible to replace the energy depleted sensors with the new ones deployed in such geographical areas that are difficult and dangerous for human being to enter. In this paper, we present a localized energy aware routing method LEERA-MS and an alternative LEERA-MS-TH method that are used incorporation with an energy efficient sleep-wakeup schedule which is included with pipelining mechanism we have proposed before. Employing multiple sinks improve the performance by providing the fairly distribution of the load. Simulation results show that this routing method applied on a multiple sinks topology when employed together with the pipelined sleep-wakeup schedule provides 40% longer lifetime for wireless sensor networks.
| Original language | English |
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| Title of host publication | 2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS'11 |
| DOIs | |
| Publication status | Published - 2011 |
| Event | 7th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS'11 - Barcelona, Spain Duration: 27 Jun 2011 → 29 Jun 2011 |
Publication series
| Name | 2011 International Conference on Distributed Computing in Sensor Systems and Workshops, DCOSS'11 |
|---|
Conference
| Conference | 7th IEEE International Conference on Distributed Computing in Sensor Systems, DCOSS'11 |
|---|---|
| Country/Territory | Spain |
| City | Barcelona |
| Period | 27/06/11 → 29/06/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Wireless sensor networks
- energy efficiency
- power aware
- routing
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