An Energy-Efficient Scheduling MAC Protocol for Wireless Sensor Networks

Kim, Jaesub; Park, Keuntae; Park, Daeyeon

doi:10.1109/ccnc.2007.134

Cited by 7 publications

(19 citation statements)

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“…In this manner, LASMAC and RMAC achieve higher goodput than SMAC while maintaining energy efficiency. [3], [4] and RMAC [5]. However, compared to opportunistic forwarding approaches, such as COR [17], the goodput enhancement is still insufficient.…”

Section: Related Workmentioning

confidence: 99%

“…Duty cycle is common feature of energy efficient MAC [3], [5], [6], [10], [15], [16]. As the energy consumption on the radio module is dominant in sensor nodes (more than 60% of total) [1], the energy consumption is reduced.…”

Section: Related Workmentioning

confidence: 99%

“…To compensate the goodput degradation caused by the duty cycle, LASMAC [3], [4], RMAC [5], and DW-MAC [12] use the listen period to schedule nodes in a routing path. In the example of Fig.…”

Section: Related Workmentioning

confidence: 99%

“…LASMAC [3], [4], RMAC [5], and DW-MAC [12] are energy efficient as well as achieve relatively higher goodput by node scheduling in a multi-hop environment. Unlike SMAC, the listen period is used to schedule nodes in a routing path (i.e., deciding when to wake up, send, or receive) and data packets are forwarded in the sleep period along with the scheduled nodes.…”

Section: Introductionmentioning

confidence: 99%

“…• Energy efficiency: Since sensor nodes are usually deployed in places where people cannot easily access, the nodes should operate energy efficiently to increase the battery lifetime [1], [3].…”

Section: Introductionmentioning

confidence: 99%

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MAC Protocol for Energy Efficiency and Service Differentiation with High Goodput in Wireless Sensor Networks

Moon

Yoo

Kim

et al. 2013

IEICE Trans. Commun.

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SUMMARYIn the sensor networks for surveillance, the requirements of providing energy efficiency and service differentiation, which is to deliver high-priority packets preferentially, while maintaining high goodput, which is to deliver many packets within their deadline are increasing. However, previous works have difficulties in satisfying the requirements simultaneously. Thus, we propose GES-MAC, which satisfies the requirements simultaneously. GES-MAC reduces idle listening energy consumption by using a duty cycle, periodic listen (i.e., turn on radio module) and sleep (i.e. turn off radio module) of sensor nodes. Cluster-based multi-hop scheduling provides high goodput in a duty-cycled environment by scheduling clusters of nodes in the listen period and opportunistically forwarding data packets in the sleep period. Priority-aware schedule switching makes more highpriority packets reach the sink node by letting high-priority packets preempt the schedules of low-priority packets. In experiments with MICA2 based sensor nodes and in simulations, the energy consumption of the radio module is reduced by 70% compared to the approaches without a duty cycle, while providing 80% ∼ 100% goodput of the approaches that provide high goodput. Service differentiation is also supported with little overhead.

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