Abstract
The problem of idle listening is one of the most significant sources of energy consumption in wireless sensor nodes. Many techniques have been proposed based on duty cycling to reduce this idle listening. This paper presents Adaptive Scheduling Predictive-Wakeup MAC (AS-PW-MAC), a new MAC protocol based on asynchronous duty cycling. AS-PW-MAC introduces RTE and RAS messages for pending data transmission. RTE and RAS are beneficial for varying traffic loads. We evaluate the performance of AS-PW-MAC through detailed ns-2 simulation and compare it to RI-MAC and PW-MAC, two well-known MAC protocols. Our evaluation includes clique, grid and random network scenarios. In all experiments, AS-PW-MAC significantly out performs RI-MAC and PW-MAC protocols. AS-PW-MAC achieves higher packet delivery ratio under a wide range of traffic loads compared to RI-MAC and PW-MAC. Especially, when there are contending flows, such as bursty traffic or transmissions from hidden nodes, AS-PW-MAC significantly improves the packet delivery ratio and delivery latency. The delivery latency for AS-PW-MAC is less than 21% compared to RI-MAC and PW-MAC. In all experiments, AS-PW-MAC maintained approximately 100% packet delivery ratio.
| Original language | English |
|---|---|
| Title of host publication | 2016 6th International Conference on Innovative Computing Technology, INTECH 2016 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 525-530 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509020003 |
| DOIs | |
| Publication status | Published - 6 Feb 2017 |
| Externally published | Yes |
| Event | 6th International Conference on Innovative Computing Technology, INTECH 2016 - Dublin, Ireland Duration: 24 Aug 2016 → 26 Aug 2016 |
Publication series
| Name | 2016 6th International Conference on Innovative Computing Technology, INTECH 2016 |
|---|
Conference
| Conference | 6th International Conference on Innovative Computing Technology, INTECH 2016 |
|---|---|
| Country/Territory | Ireland |
| City | Dublin |
| Period | 24/08/16 → 26/08/16 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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