A novel sleep scheduling scheme in green wireless sensor networks

Zhang, Jing; Xu, Li; Zhou, Shuming; Ye, Xiucai

doi:10.1007/s11227-014-1354-z

Cited by 9 publications

(10 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…We refer to this model as '2-state model'. The authors of references [2][3][4][5]12] have shown that this 2-state power consumption model can reduce energy consumption of the whole network. However, the problem is that the BS takes significant time to wake up from sleep mode, which may cause call drop to new users.…”

Section: Related Workmentioning

confidence: 98%

“…Energy efficiency in cellular networks and communication has been studied widely in the literature [2][3][4][5][7][8][9]. Some research papers [2][3][4][5] have proposed different algorithms to implement sleep mode in the LTE BSs. The authors in [5] proposed an approach to reduce energy consumption in mobile networks by introducing discontinuous transmission on the base station side.…”

Section: Related Workmentioning

confidence: 99%

“…The authors in [9] consider a similar setting of one user and one station and show how to derive the optimal sleep policy numerically by formalizing the problem as a Semi-MDP. The authors in [3] proposed a novel scheme for the sleep scheduling based on decentralized partially observable MDP (Dec-POMDP). However almost all of the above mentioned papers have proposed sleep mode of the BS in low traffic condition and the BS will be in active mode for rest of the time.…”

Section: Related Workmentioning

confidence: 99%

“…Novelty of our work: As already presented in some pioneering works [2][3][4], switching off a base station within a HetNet is a very good approach to save energy consumption during low traffic condition. However each sleeping BS takes significant amount of time to wake up and become fully operable.…”

Section: Introductionmentioning

confidence: 96%

See 3 more Smart Citations

Energy Efficient and Delay Aware 5G Multi-Tier Network

Islam

Alazab²,

Agbinya³

2019

Remote Sensing

View full text Add to dashboard Cite

Multi-tier heterogeneous Networks (HetNets) with dense deployment of small cells in 5G networks are expected to effectively meet the ever increasing data traffic demands and offer improved coverage in indoor environments. However, HetNets are raising major concerns to mobile network operators such as complex distributed control plane management, handover management issue, increases latency and increased energy expenditures. Sleep mode implementation in multi-tier 5G networks has proven to be a very good approach for reducing energy expenditures. In this paper, a Markov Decision Process (MDP)-based algorithm is proposed to switch between three different power consumption modes of a base station (BS) for improving the energy efficiency and reducing latency in 5G networks. The MDP-based approach intelligently switches between the states of the BS based on the offered traffic while maintaining a prescribed minimum channel rate per user. Simulation results show that the proposed MDP algorithm together with the three-state BSs results in a significant gain in terms of energy efficiency and latency.

show abstract

Section: Related Workmentioning

confidence: 98%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 96%

See 2 more Smart Citations

Energy Efficient and Delay Aware 5G Multi-Tier Network

Islam

Alazab²,

Agbinya³

2019

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…In large scale MSNs, the random deployment scheme is both practical and low in cost [38][39][40]. Therefore, the random deployment scheme is employed in this network model.…”

Section: Basic Assumptionsmentioning

confidence: 99%

ENCP: a new Energy-efficient Nonlinear Coverage Control Protocol in mobile sensor networks

Sun

Zhao

Xing

2018

J Wireless Com Network

View full text Add to dashboard Cite

The node deployment in mobile sensor networks (MSNs) is mostly performed in a random method. However, a large number of redundant nodes may exist due to the randomness. As a result, severe data congestion may be caused and the quality of coverage (QoC) is undermined. In order to solve this QoC problem, we propose an Energy-efficient Nonlinear Coverage Control Protocol (ENCP). This protocol utilizes the normal distribution to calculate the minimal number of sensors which is required to guarantee coverage over the monitoring area. We also balance the node energy consumption and achieve the collaborative scheduling among all the sensor nodes. Meanwhile, when a certain QoC is guaranteed, we present the calculation model for the normal distribution of the sensing ranges and the proportional relationship between different parameters in the QoC function. Finally, simulation results show that the ENCP could not only improve the network QoC and network coverage rate but also effectively control the energy exhaustion at the nodes. Therefore, the network lifetime can be effectively prolonged.

show abstract