A Survey on Efficient Power Consumption in Adaptive Wireless Sensor Networks

Obeid, Abdulfattah M.; Atitallah, Nesrine; Loukil, Kais; Abid, Mohamed; BenSalah, M.S.

doi:10.1007/s11277-018-5678-5

Cited by 9 publications

(7 citation statements)

References 30 publications

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“…Employing proposed parameters and using the formulas (10) and (14) given in Sect. 4, along with formulas specifying included terms, we calculate a representative value of energy consumed due to the duty-cycling mechanism for synchronous and asynchronous LPP techniques, respectively.…”

Section: And 5 For Each Class and Communication Techniquementioning

confidence: 99%

“…The approach based on their generalization applied in the proposed methodology ensures an effective comparison. Moreover, in recent years, a self-adaptive MAC protocols for WSN have been proposed [14]. The presented methodology can be effectively used in these protocols to find an optimum trade-off between various MAC layer parameters in order to find an optimum energy consumption level [15].…”

Section: Introductionmentioning

confidence: 99%

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Energy Efficiency Trade-Off Between Duty-Cycling and Wake-Up Radio Techniques in IoT Networks

Kozłowski

Sosnowski

2019

Wireless Pers Commun

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Energy consumption has become dominant issue for wireless internet of things (IoT) networks with battery-powered nodes. The prevailing mechanism allowing to reduce energy consumption is duty-cycling. In this technique the node sleeps most of the time and wakes up only at selected moments to extend the lifespan of nodes up to 5-10 years. Unfortunately, the scheduled duty-cycling technique is always a trade-off between energy consumption and delay in delivering data to the target node. The delay problem can be alleviated with an additional wake-up radio (WuR) channel. In the paper we present original power consumption models for various duty-cycling schemes. They are the basis for checking whether WuR approach is competitive with scheduled duty-cycling techniques. We determine the maximum energy level that an additional wake-up radio can consume to become a reasonable alternative of widely used duty-cycling techniques for typical IoT networks.

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Section: And 5 For Each Class and Communication Techniquementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Trade-Off Between Duty-Cycling and Wake-Up Radio Techniques in IoT Networks

Kozłowski

Sosnowski

2019

Wireless Pers Commun

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“…In the present work, we propose the use of a technique that acts on the processing and communication layers of an SN to reduce power consumption and, consequently, increase its lifetime. The communication layer consumes the greatest amount of energy in WSNs [11]. Our first contribution consists of establishing a new low-power communication technique based on the use of multiplerelays to ensure communication between a source (S) and a destination (D).…”

Section: Introductionmentioning

confidence: 99%

Energy Saving Multi-Relay Technique for Wireless Sensor Networks Based on Hw/Sw MPSoC System

Loukil

2023

IEEE Access

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Currently, we are witnessing a wide range of Wireless Sensor Networks (WSNs) in various fields of application. In most cases, these networks contain numerous battery-powered sensor nodes. Therefore, the lifetime of WSNs is intrinsically dependent. For this purpose, different studies have been conducted to reduce the power consumption. We propose a new technique for reducing the power consumption of clustered WSNs. We considered clusters in which sensors transmitted data to a Cluster Head (CH) by cooperative communication based on the Bit Error Probability (BEP) criterion for the multi-relay technique. Therefore, the proposed technique uses a multi-relay to reduce the transmission power to communicate between the source and destination which respects the predefined reliability level. The proof of the described technique was performed using a multiprocessor architecture. Second, we used an efficient software/hardware (Sw/Hw) architecture that utilized accelerator modules. The experimental results demonstrate significant gains in terms of energy consumption and workload compared to the SW implementation.

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“…ere are many network topologies constructed for good transmission of the collected data, such as cluster-based topology [13][14][15][16][17], tree-based topology [18][19][20], and other topologies [21]. In references [22][23][24], the authors give comprehensive introduction to the performance of the abovementioned topologies in the WSNs, which indicate that the quality of topology has a great influence on data transmission, especially in some practical networks [23,25,26]. Some types of computer software commonly used to simulate the algorithm performance are proposed.…”

Section: Introductionmentioning

confidence: 99%

Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm

Zhang

Yang

2020

Complexity

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Aiming at the transmission of heterogeneous data in heterogeneous networks, a topology optimization algorithm of heterogeneous wireless sensor networks based on local tree reconstruction is proposed, which can achieve better data transmission in the heterogeneous networks. First, the algorithm divides the nodes of the network into different layers by their hops and chooses different numbers of nodes as relay nodes in different layers. Second, the nodes are set with different initial energies in different layers. Because the packets of different nodes have different sizes, we adopt the corresponding data aggregation coefficients according to the actual data requirements of the network in data transmission. Finally, the lifetime of the network is prolonged by real-time updating of the topology of the tree during the data transmission. The simulations indicate that after the aforementioned three steps, the proposed algorithm prolongs the lifetime of the heterogeneous networks and improves the nodes utilization effectively.

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A Survey on Efficient Power Consumption in Adaptive Wireless Sensor Networks

Cited by 9 publications

References 30 publications

Energy Efficiency Trade-Off Between Duty-Cycling and Wake-Up Radio Techniques in IoT Networks

Energy Efficiency Trade-Off Between Duty-Cycling and Wake-Up Radio Techniques in IoT Networks

Energy Saving Multi-Relay Technique for Wireless Sensor Networks Based on Hw/Sw MPSoC System

Data Aggregation in Heterogeneous Wireless Sensor Networks by Using Local Tree Reconstruction Algorithm

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