DS-MAC: An energy efficient demand sleep MAC protocol with low latency for wireless sensor networks

Wang, Guijuan; Yu, Jiguo; Yu, Dongxiao; Yu, Haitao; Feng, Li; Liu, Pan

doi:10.1016/j.jnca.2015.09.007

Cited by 28 publications

(14 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In Wang et al (2015), an asynchronous MAC protocol named DS-MAC (Demand Sleep MAC) is proposed to alleviate the high end-to-end transmission delay problem under dynamic traffic load conditions. With DS-MAC, the sensor nodes adaptively adjust their sleep time depending on the amount of the received data to ensure efficient data communication under dynamic traffic loads.…”

Section: Ds-macmentioning

confidence: 99%

Energy-efficient MAC protocols for wireless sensor networks: a survey

Afroz

Braun

2020

IJSNET

View full text Add to dashboard Cite

Wireless sensor network (WSN) is a network of a large number of battery-powered tiny sensor nodes wirelessly connected together to facilitate a wide range of monitoring applications. As WSN nodes are energy-constrained microelectronic devices, the primary design objective of WSNs is to minimise energy consumption to prolong the network lifetime. To achieve this goal, a range of cross-layer techniques, particularly focusing on medium access control (MAC) sublayer, is proposed targeting different WSN applications. This paper aims to survey low-power WSN MAC protocols, proposed from 2000 to the present, emphasising some general aspects including the issues addressed, the solutions proposed, design principles, strengths, drawbacks and target applications. With this aim, we mainly classify the MAC protocols into three categories: contention-based protocols, time division multiple access (TDMA)-based protocols and hybrid protocols, where the first category is further subdivided into subclasses. The development trends and potential research challenges are also discussed.

show abstract

Section: Ds-macmentioning

confidence: 99%

Energy-efficient MAC protocols for wireless sensor networks: a survey

Afroz

Braun

2020

IJSNET

View full text Add to dashboard Cite

show abstract

“…It introduced a mechanism like demand sleep mechanism, which responsible to manage the sensors sleeping-time based on total receive packets. When the scheduled time period is beyond the threshold value, DS-MAC shortens the sensor sleeping time, because switching of the sleep state to active state consumes much energy [22]. If the amount of received packets are lesser than the threshold value, sensors increases its sleep mode time to save the maximum energy which is wasted in idle-state.…”

Section: Demand Sleep-mac Protocol: Ds-macmentioning

confidence: 99%

Survey: energy efficient protocols using radio scheduling in wireless sensor network

Mathew¹,

Jones²

2020

IJECE

View full text Add to dashboard Cite

An efficient energy management scheme is crucial factor for design and implementation of any sensor network. Almost all sensor networks are structured with numerous small sized, low cost sensor devices which are scattered over the large area. To improvise the network performance by high throughput with minimum energy consumption, an energy efficient radio scheduling MAC protocol is effective solution, since MAC layer has the capability to collaborate with distributed wireless networks. The present survey study provides relevant research work towards radio scheduling mechanism in the design of energy efficient wireless sensor networks (WSNs). The various radio scheduling protocols are exist in the literature, which has some limitations. Therefore, it is require developing a new energy efficient radio scheduling protocol to perform multi tasks with minimum energy consumption (e.g. data transmission). The most of research studies paying more attention towards to enhance the overall network lifetime with the aim of using energy efficient scheduling protocol. In that context, this survey study overviews the different categories of MAC based radio scheduling protocols and those protocols are measured by evaluating their data transmission capability, energy efficiency, and network performance. With the extensive analysis of existing works, many research challenges are stated. Also provides future directions for new WSN design at the end of this survey.

show abstract

Section: Mean Probability Of Successful Reception and Transmission Camentioning

confidence: 99%

“…The virtual power F j i ¼ P t :g j i still follows the exponential distribution with parameter 1 and can be analyzed by expression (6). From (6), it is clear that the fading parameter μ has no effect on the mean probability of successful reception for the whole network. In other words, the influence of fading on the successful reception probability in hard core point process deployed networks is same as that in the PPP deployed networks as [9].…”

Section: Mean Probability Of Successful Reception and Transmission Camentioning

confidence: 99%

See 1 more Smart Citation

Modeling and analysis of random dense CSMA networks

Sun

Jiang

et al. 2018

J Wireless Com Network

View full text Add to dashboard Cite

The MAC (medium access control) of CSMA (carrier sense multiple access) is widely used in distributed wireless networks with random node locations. In CSMA MAC, two nodes that are within the range of one another cannot transmit packets simultaneously. Modeling the concurrently transmitting nodes is crucial for the performance analysis of the CSMA networks. In this paper, we study the density of concurrently transmitting nodes and propose another modification of classical hard core point process to accurately estimate the density of concurrently transmitting nodes, in the absence and in the presence of fading conditions. The MMHCP model we propose outperforms the popular Matérn type II model and the existing modified hard core point (MHCP) process model by avoiding the underestimation and alleviating the overestimation issues, respectively. We conduct extensive numerical analysis and simulations to evaluate the accuracy of our MMHCP model. Furthermore, we study the impact of the density of initial Poisson Point Process (PPP) and fading factor on the mean probability of successful reception and on the transmission capacity of networks from numerical analysis and simulations.

show abstract

DS-MAC: An energy efficient demand sleep MAC protocol with low latency for wireless sensor networks

Cited by 28 publications

References 33 publications

Energy-efficient MAC protocols for wireless sensor networks: a survey

Energy-efficient MAC protocols for wireless sensor networks: a survey

Survey: energy efficient protocols using radio scheduling in wireless sensor network

Modeling and analysis of random dense CSMA networks

Contact Info

Product

Resources

About