Sleeping Techniques for Reducing Energy Dissipation

Muraleedharan, Rajani; Demirkol, Ilker; Ou, Yang; Ba, He; Ray, Surjya; Heinzelman, Wendi

doi:10.1007/978-3-642-40009-4_6

Cited by 9 publications

(13 citation statements)

References 67 publications

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“…Table 1 provides a different perspective on the surveyed articles by considering the place of proposed scheduling algorithms within the communication protocol stack [29]. It clearly shows the dominance of swarm intelligent approaches across all three levels of sleeping techniques.…”

Section: The Role Of Nature-inspired Algorithms In Wake-up Schedulingmentioning

confidence: 99%

“…Various sleeping techniques for reducing energy dissipation are discussed in [29]. The authors classify wake-up techniques into three groups, depending on the source of the wake-up event.…”

Section: Related Reviewsmentioning

confidence: 99%

“…The environmentally controlled wake-ups react to events generated either by sensors or by an energy harvesting unit of the node. The remaining part of [29] provides an overview of sleeping and routing techniques. The sleeping approaches are classified to groups by layers of the wireless protocol stack.…”

Section: Related Reviewsmentioning

confidence: 99%

“…Additionally, cross-layer sleeping techniques are important when sensors are put to sleep in different layers of the hierarchy [29].…”

Section: Types Of Wake-up Schedulingmentioning

confidence: 99%

“…According to their role within the communication protocol stack [67], wake-up scheduling can be classified [29] as techniques for…”

Section: Types Of Wake-up Schedulingmentioning

confidence: 99%

See 4 more Smart Citations

Review of nature-inspired methods for wake-up scheduling in wireless sensor networks

Musilek

Krömer

Bartoň

2015

Swarm and Evolutionary Computation

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Section: The Role Of Nature-inspired Algorithms In Wake-up Schedulingmentioning

confidence: 99%

“…Various sleeping techniques for reducing energy dissipation are discussed in [29]. The authors classify wake-up techniques into three groups, depending on the source of the wake-up event.…”

Section: Related Reviewsmentioning

confidence: 99%

Section: Related Reviewsmentioning

confidence: 99%

“…Additionally, cross-layer sleeping techniques are important when sensors are put to sleep in different layers of the hierarchy [29].…”

Section: Types Of Wake-up Schedulingmentioning

confidence: 99%

“…According to their role within the communication protocol stack [67], wake-up scheduling can be classified [29] as techniques for…”

Section: Types Of Wake-up Schedulingmentioning

confidence: 99%

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Review of nature-inspired methods for wake-up scheduling in wireless sensor networks

Musilek

Krömer

Bartoň

2015

Swarm and Evolutionary Computation

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Active High Transmitter-receiver energy model for heterogeneous energy optimisation in a pipeline network

Subramaniam

Feroz

Ibrahim

et al. 2022

J. Phys.: Conf. Ser.

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A network energy management and optimisation are frequently associated to the network lifetime (maximum operation of nodes in a network) that is contributed by heterogeneous energy consumption pattern among nodes arranged in a pipeline layout. This scenario becomes even more critical in a remote monitoring application of an oil and gas pipeline network where a series of sensing points (commonly battery powered wireless nodes) are needed to communicate the measurements to a centralised monitoring station. This paper introduces the Active High Transmitter-receiver energy model (AHiT) which was designed as an adaptive sleep/wake for sensor nodes to optimise energy consumption in the long run. Implementing AHiT energy model on sensor nodes improves the energy consumption based on data transfer activity in a multi-hop pipeline layout wireless sensor network (WSN). In this research, the proposed AHiT energy model optimises node energy by the demand that is unlike to the conventional sleep and wake energy model that is operated on a predefined scheduling scheme that accommodates the data traffic pattern in a network. Generally, in a pipeline network where sensor nodes connectivity is considered critical among neighbouring nodes to support data transfer from one end to the other end of a network. Simulations results in NS2 has indicated node energy consumption is approximately 60% with extended network lifetime around 30% subjected to the data traffic pattern as compared to the conventional energy model.

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Protocol-Stack Based Sensor Network Design and Realization

2015

2015 First International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA)

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This paper presents our latest research in the field of microsatellite sensor network design. In the experiment we've designed the overall structure of system including module layout and circuit design, node application software platform by utilizing system-on-chip CC2530 chip as the hardware development platform. The system uses network communication protocol-stack to set up the system. The system test has yielded good results, showing high receiver sensitivity, ideal communication distance, low latency network communication, high data transmission efficiency and strong network robustness.

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Sleeping Techniques for Reducing Energy Dissipation

Cited by 9 publications

References 67 publications

Review of nature-inspired methods for wake-up scheduling in wireless sensor networks

Review of nature-inspired methods for wake-up scheduling in wireless sensor networks

Active High Transmitter-receiver energy model for heterogeneous energy optimisation in a pipeline network

Protocol-Stack Based Sensor Network Design and Realization

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