The Research of Wireless Sensor Networks Optimization Algorithm Based on the Energy Control

Liu, Banteng; Chen, Yourong; Zhou, Kai; Hua, Jingyu

doi:10.1109/isip.2010.83

Cited by 5 publications

(3 citation statements)

References 4 publications

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“…This issue is addressed in several papers like [ 47 , 48 , 49 , 50 , 51 ]. There are also some surveys and papers that investigated power optimization algorithms for WSN [ 52 , 53 , 54 , 55 , 56 ]. Basically, they pointed out multi-objective paradigms, and some open problems as well, in order to improve lifetime in WSN.…”

Section: Related Workmentioning

confidence: 99%

A Low Power IoT Sensor Node Architecture for Waste Management Within Smart Cities Context

Cerchecci

Luti

Mecocci

et al. 2018

Sensors

127

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This paper focuses on the realization of an Internet of Things (IoT) architecture to optimize waste management in the context of Smart Cities. In particular, a novel typology of sensor node based on the use of low cost and low power components is described. This node is provided with a single-chip microcontroller, a sensor able to measure the filling level of trash bins using ultrasounds and a data transmission module based on the LoRa LPWAN (Low Power Wide Area Network) technology. Together with the node, a minimal network architecture was designed, based on a LoRa gateway, with the purpose of testing the IoT node performances. Especially, the paper analyzes in detail the node architecture, focusing on the energy saving technologies and policies, with the purpose of extending the batteries lifetime by reducing power consumption, through hardware and software optimization. Tests on sensor and radio module effectiveness are also presented.

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Section: Related Workmentioning

confidence: 99%

A Low Power IoT Sensor Node Architecture for Waste Management Within Smart Cities Context

Cerchecci

Luti

Mecocci

et al. 2018

Sensors

127

View full text Add to dashboard Cite

show abstract

“…LoRa is not the only technology used for waste management in cities. In [ 6 , 7 , 8 , 9 , 10 , 11 , 12 , 13 ], multiple Low Power Wide Area Network types are used to address the waste management problem, specifying complete solutions from the sensor to the application, addressing intelligent routing of waste trucks [ 14 , 15 , 16 ] and energy [ 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ] as two of the main issues with this kind of application.…”

Section: Related Workmentioning

confidence: 99%

LoRaWAN and Urban Waste Management—A Trial

Cruz

Cota

Tremoceiro

2021

Sensors

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The city of Lisbon, as any other capital of a European country, has a large number of issues regarding managing waste and recycling containers spread throughout the city. This document presents the results of a study promoted by the Lisbon City Council for trialing LPWAN (Low-Power Wide-Area Network) technology for the waste management vertical under the Lisbon Smart City initiative. Current waste management is done using GSM (Global System for Mobile communications) sensors, and the municipality aims to use LPWAN in order to improve range and reduce costs and provisioning times when changing the communications provider. After an initial study, LoRa (Long Range) and LoRAWAN (LoRa Wide Area Network) as its network counterpart, were selected as the LPWAN technology for trials considering several use cases, exploring multiple distances, types of recycling waste containers, placements (underground or surface) and kinds of commercially available waste level measurement LoRa sensors. The results showed that the underground waste containers proved to be, as expected, the most difficult to operate correctly, where the container itself imposed attenuation levels of 26 dB on the LoRa link budget. The successful results were used to promote the deployment of a city-wide LoRa network, available to all the departments inside the Lisbon City Council. Considering the network capacity, the municipality also decided to make the network freely available to citizens.

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“…In [9] S.Rao Rayaoudi proposed a novel approach based on intelligent water drops algorithm to solve economic load dispatch problem. Liu Ban-teng, Chen You-rong , Zhou Kai, Jingyu Hua [10] proposed Boolean sensing model based on Poisson point process to identify the function of the rate of coverage and the node density in unit area, and then calculates the total number of nodes in the region, next uses the greedy strategy of the Prim algorithm to find a spanning tree with the maximum weight, and constructs a approximate solution for the minimum connected dominating set. Malay K Pakhira [11] proposed Visuval Assessment of Tendency based algorithm for automatic determination of number of clusters identification.…”

Section: Davis-bouldin (Db) Indexmentioning

confidence: 99%

A Modified clustering for LEACH algorithm in WSN

Reddy¹,

Rao²

2013

IJACSA

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Abstract-Node clustering and data aggregation are popular techniques to reduce energy consumption in large Wireless Sensor Networks (WSN). Cluster based routing is always a hot research area in wireless sensor networks. Classical LEACH protocol has many advantages in energy efficiency, data aggregation and so on. However, determining number of clusters present in a network is an important problem. Conventional clustering techniques generally assume this parameter to be user supplied. There exist very few techniques that can solve the problem of automatic detection of number of clusters satisfactorily. Some of these techniques rely on user supplied information, while others use cluster validity indices. In this paper, we proposed a rather simple method to identify the number of clusters that can give satisfactory results. Proposed method is compared with classical LEACH protocol and found to be giving better results.

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The Research of Wireless Sensor Networks Optimization Algorithm Based on the Energy Control

Cited by 5 publications

References 4 publications

A Low Power IoT Sensor Node Architecture for Waste Management Within Smart Cities Context

A Low Power IoT Sensor Node Architecture for Waste Management Within Smart Cities Context

LoRaWAN and Urban Waste Management—A Trial

A Modified clustering for LEACH algorithm in WSN

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