iSleep: thermal entropy aware intelligent sleep scheduling algorithm for wireless sensor network

Banerjee, Paula; Mandal, Satyendra Nath; De, Debashis; Maiti, Biswajit

doi:10.1007/s00542-019-04706-7

Cited by 16 publications

(4 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The first step in the algorithm process is to establish an environmental model. This model includes the location, speed, and information content of several nodes in a wireless sensor network, as well as the location and size of obstacles in the surrounding environment [18]. This model can be implemented through sensors and other devices.…”

Section: B Gap Analysismentioning

confidence: 99%

Data Transmission in Wireless Sensor Networks Based on Ant Colony Optimization Technique

Wu,

Dawod,

Miao

2024

Applied Sciences

View full text Add to dashboard Cite

A wireless sensor network (WSN) is a wireless network composed of sensor nodes, widely used in military, industrial, and agricultural fields. In these practical application scenarios, due to the limited routing search ability of wireless sensor nodes and the small coverage range of a WSN, it faces the problem of a relatively short network lifecycle. Therefore, increasing a WSN’s coverage range and reducing node energy consumption are of high value. This article proposes a method of using the ant colony algorithm (ACOD) to calculate the optimal routing of a WSN, the K-means algorithm for clustering, and the whale algorithm (WOA) and a backpropagation (BP) neural network to increase the coverage range of a WSN. After multiple experiments, the total energy consumption of WSN nodes has been effectively reduced, the coverage range of the WSN has been increased, and the lifecycle of the WSN has been extended.

show abstract

Section: B Gap Analysismentioning

confidence: 99%

Data Transmission in Wireless Sensor Networks Based on Ant Colony Optimization Technique

Wu,

Dawod,

Miao

2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…And the solar power supply system is applied to the network; the ZigBee network in the system is a tree network, using the air temperature and humidity sensor, soil moisture sensor, rainfall sensor to detect environmental information, using Delphi 7.0 programming environment to develop upper computer monitoring software. ( 2) Design an intelligent sensor network based on CC2430 to automatically control the landscape system [21], which can monitor abundant environmental information, such as soil moisture, environmental temperature, and illumination, and transmit the information sent by the sensor to the processor in combination with the sensor fusion technology to make accurate judgment of irrigation behavior. (3) Build a ZigBee intelligent sensor network-based landscape control system, focusing on the AD (Altium Designer) hoc network process of intelligent sensor network [22,23].…”

Section: Related Workmentioning

confidence: 99%

Digital Planning and Design of Landscape Based on Intelligent Sensor Network

Zou

2022

Journal of Sensors

View full text Add to dashboard Cite

According to the development of landscape digitization and the actual market demand, a digital landscape system based on intelligent sensor network is designed and implemented. The system consists of two parts: sensor node and display terminal, forming a star intelligent sensor network. Sensor node measurement is sent to display control terminal through intelligent sensor network. The display control terminal serves as the aggregation node. Based on geometry transformation, free form, and bionics, the method of constructing complex surface and the method strategy of optimizing complex surface are put forward from geometry and bionics theory. Then, the material types and construction methods of landscape composite surface are discussed and studied. According to the process and project of site cognition and landscape planning and design, six special models are established: ecological sensitivity evaluation model, construction suitability evaluation model, project site selection model, road line selection model, quasinatural waterscape construction model, and vertical design model. According to the characteristics of each landscape planning and design project, the logic generation and parameter composition of the model are discussed, and the application of the model is empirically studied and discussed based on actual cases.

show abstract

“…The sensor nodes running any of the algorithms are supposed to observe the contemporary state based on a pre-calculated relationship between node-density and temperature. Thermal entropy of the sensor nodes has been explored in the intelligent sleep-scheduling technique iSleep [19]. Reinforcement Learning based sleepscheduling algorithm RL-Sleep has been proposed in [7] in which the authors have used a temperature model and Q-learning technique to switch the sleep/awake states adaptively, depending on the environmental situation.…”

Section: Related Workmentioning

confidence: 99%

Thermal entropy based hesitant fuzzy linguistic term set analysis in energy efficient opportunistic clustering

Anees¹,

Zhang²

2021

Natural Language Computing

View full text Add to dashboard Cite

Limited energy resources and sensor nodes’ adaptability with the surrounding environment play a significant role in the sustainable Wireless Sensor Networks. This paper proposes a novel, dynamic, self-organizing opportunistic clustering using Hesitant Fuzzy Linguistic Term Analysis- based Multi-Criteria Decision Modeling methodology in order to overcome the CH decision making problems and network lifetime bottlenecks. The asynchronous sleep/awake cycle strategy could be exploited to make an opportunistic connection between sensor nodes using opportunistic connection random graph. Every node in the network observe the node gain degree, energy welfare, relative thermal entropy, link connectivity, expected optimal hop, link quality factor etc. to form the criteria for Hesitant Fuzzy Linguistic Term Set. It makes the node to evaluate its current state and make the decision about the required action (‘CH’, ‘CM’ or ‘relay’). The simulation results reveal that our proposed scheme leads to an improvement in network lifetime, packet delivery ratio and overall energy consumption against existing benchmarks.

show abstract

iSleep: thermal entropy aware intelligent sleep scheduling algorithm for wireless sensor network

Cited by 16 publications

References 28 publications

Data Transmission in Wireless Sensor Networks Based on Ant Colony Optimization Technique

Data Transmission in Wireless Sensor Networks Based on Ant Colony Optimization Technique

Digital Planning and Design of Landscape Based on Intelligent Sensor Network

Thermal entropy based hesitant fuzzy linguistic term set analysis in energy efficient opportunistic clustering

Contact Info

Product

Resources

About