A sleep-scheduling scheme for enhancing QoS and network coverage in IEEE 802.15.4 WSN

Semprebom, Tiago; Montez, Carlos; Araújo, Gustavo Medeiros de; Portugal, Paulo

doi:10.1109/wfcs.2015.7160579

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…Static WSN mostly adopts the node state rotation mechanism to expand the coverage and increase the working life of the network. Semprebom [14] proposed a (m, k)-Gur strategy, which provides a unified coverage monitoring application. The node autonomously performs a self-regulating choice, sends a message to the base station or sleeps to the next period.…”

Section: Related Workmentioning

confidence: 99%

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WSN Coverage Optimization Based on Two-Stage PSO

Fan

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Wireless Sensor Networks (WSN) coverage perception is an important basis for communication between the cyber world and the physical world in Cyber-Physical Systems (CPS). To address the coverage redundancy, hole caused by initial random deployment and the energy constraint in redeployment, this paper proposes a multi-objective two-stage particle swarm optimization algorithm (MTPSO) based on coverage rate and moving distance deviation to improve coverage efficiency. This algorithm establishes a multi-objective optimization model for above problems, and determines the candidate deployment scheme by reducing its local convergence probability through improved inertia weight, and then introduces virtual force mechanism to adjust the relative position between nodes. This paper mainly analyzes the influence of different initial deployment category and mobile nodes proportion on multi-objective optimization performance, and gives the corresponding algorithm implement. Simulation experiments show that compared with MVFA, SPSO and OPSO algorithms, MTPSO algorithm has a better redeployment coverage performance, which fully demonstrates its effectiveness.

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Section: Related Workmentioning

confidence: 99%

“…In this paper, the index RD is used to compare the coverage efficiency of the redeployment scheme, which is the ratio of the coverage rate to the average moving distance, shown in Eq. (14).…”

Section: Comparison Of Goals and Fitnessmentioning

confidence: 99%

WSN Coverage Optimization Based on Two-Stage PSO

Fan

et al. 2021

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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“…What's more, the outcomes demonstrate that the arranged approach boosts organise lifetime and way security makes strides. Vijay S. Rao et al in 2015 [11]discussed about the measure of vitality gathered fluctuates spatially and transiently with the goal that the sensor hubs frequently don't have adequate energy to deal with application like system and house-keeping assignments. In addition the surrounding source can't be understood to be essentially accessible constantly.…”

Section: Literature Reviewmentioning

confidence: 99%

Deployment Schemes in WSNs

Li¹

2019

IJSDA

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Wireless sensor networks are gaining importance for the utilization in various scenarios day by day. The impact of utilizing these sensor networks is asking an important note on the day to day available issues in the human life. The working of such people is heavily impacted by these sensor nodes and their impact of working of them. When the nodes are working, they will collect the data from time to time and data will be processed by the machines and the required steps will be taken for the better processing of such data and for better utilization of the resources of devices or several other points to be considered for better utilization. Several models of sensor networks are available for the users or the developers such that to form the various good results. To achieve such good results, the deployment of nodes at various locations with various resources was very important. Hence, in the current article an attempt has been made to present a detailed review on various deployment schemes of nodes in the wireless sensor networks are discussed in detail.

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“…Consequently, one of the most important goals of the IEEE 802.15.4 standard and IoT networks is to prolong the battery life of devices by reducing their energy usage. Therefore, on one hand, the main design goal of a typical MAC protocol is to provide high throughput in terms of data transmission and some degree of quality of service (QoS) [13]. On the other hand, wireless MAC protocol ought to give higher priority to minimising energy consumption than maximizing throughput and QoS since data transmission is subject to the available energy on the device.…”

Section: Introductionmentioning

confidence: 99%

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

Abegunde

Xiao

Spring

2020

IEEE Internet Things J.

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The current trend in developing smart technology for the Internet of Things (IoT) has motivated a lot of research interest in optimising data transmission or minimising energy consumption, but with little evidence of proposals for achieving both objectives in a single model. Using the concept of game theory, we develop a new MAC protocol for IEEE 802.15.4 and IoT networks in which we formulate a novel expression for the players' utility function and establish a stable Nash Equilibrium (NE) for the game. The proposed IEEE 802.15.4 MAC protocol is modelled as a smart game in which analytical expressions are derived for channel access probability, data transmission probability and energy used. These analytical expressions are used in formulating an Optimization Problem (OP) that maximizes data transmission and minimizes energy consumption by nodes. The analysis and simulation results suggest that the proposed scheme is scalable and achieves better performance in terms of data transmission, energy efficiency and longevity, when compared with the default IEEE 802.15.4 access mechanism.

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A sleep-scheduling scheme for enhancing QoS and network coverage in IEEE 802.15.4 WSN

Cited by 5 publications

References 10 publications

WSN Coverage Optimization Based on Two-Stage PSO

WSN Coverage Optimization Based on Two-Stage PSO

Deployment Schemes in WSNs

A Smart Game for Data Transmission and Energy Consumption in the Internet of Things

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