A review of wireless sensor networks and its applications

Zhang, Shiwei; Zhang, Haitao

doi:10.1109/ical.2012.6308240

Cited by 68 publications

(36 citation statements)

References 11 publications

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“…Wireless sensor networks (WSNs) have wide range of applications, right from forest fire monitoring, weather monitoring, agriculture, industrial and military areas [1]. A WSN consists of tiny nodes having sensors, analog to digital converter (ADC), memory, micro-controller unit, RF transmitter/receiver, antenna and energy source.…”

Section: Introductionmentioning

confidence: 99%

Multi-level LEACH protocol using NS-3

Kodali

Aravapalli

2014

2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA)

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In Wireless Sensor Networks (WSNs), the nodes are used to detect and locate various events over wide areas. The nodes communicate among themselves using wireless connectivity. The data is gathered by the nodes and the same is forwarded using multi-hop wireless links towards the base station. These tiny nodes are supported by very limited computational and energy resources. In flat topology, the nodes relay every data item collected by each node towards the gateway node, thereby draining the energy of the relaying nodes soon. In a WSN application, it may not be possible to replace the batteries always. One of the basic requirements of any WSN application is energy conservation of the nodes. Using hierarchical topology, the data is collected from the nodes in the near vicinity and the same is aggregated and these aggregate values are sent to the gateway node. This work proposes an extension to the LEACH protocol thereby resulting in considerable improvement of energy efficiency. Various comparisons have also been made.

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Section: Introductionmentioning

confidence: 99%

Multi-level LEACH protocol using NS-3

Kodali

Aravapalli

2014

2014 International Conference on Circuits, Systems, Communication and Information Technology Applications (CSCITA)

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“…Recent years has seen the rapid development of a new wireless network technology, the wireless sensor network (WSN). It realizes the seamless connection between people and the monitoring area through sensor nodes scattered in the monitoring area and real-time monitoring of environmental regions [14]. As a concrete form of WSN, Zig-Bee has the advantages of low rate, low power consumption, low cost, self-organizing network and selfrepairing ability [15].…”

Section: Introductionmentioning

confidence: 99%

Application of WSN Fire Monitoring System in Coal Mining

Bai¹

2017

Int. J. Onl. Eng.

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Abstract-Targeted at the potential fire in coal mine production, this paper proposes a coal mine fire monitoring system based on Zig-bee technology, and discusses the network data transmission process in the system. When the system is applied to an actual coal mine, it achieves a sound fire monitoring effect. The wireless sensor network (WSN) coal mine fire monitoring system consists of such three subsystems as data acquisition subsystem, control center subsystem and emergency response subsystem. With sensor nodes as the basic unit, the WSN is divided into five parts: sensor module, treatment module, wireless communication module, location module and power supply module. The system can monitor the air temperature, humidity and smoke concentration of fire in the coal mine, and provide effective basis for monitoring department to make decisions on fire prevention and control measures. The on-site monitoring test shows that, in the event of a fire, the WSN can monitor the trend of fire in the coal mine effectively, reflect the temperature distribution in details, and issue alarms accurately. The conclusion offers a theoretical reference for the development of coal mine fire monitoring technology.

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“…Besides having many applications in our homes, hospitals, WSNs also control our personal as well as professional lives [3]. They have lower maintenance and deployment costs, longer lifetime and are adaptable to harsh and unmanned areas [1].…”

Section: Introductionmentioning

confidence: 99%

“…Recent advancements in wireless electronics and sensing technology has led to production of low cost versatile wireless sensor nodes which has lower maintenance and deployment costs, longer lifetime and is adaptable to harsh environments [1].. Wireless sensor network consists of sensing, central processing unit and radio transceiver. In WSN a sensing technology is used in which sensor nodes or motes are used which are tiny, autonomous and compact devices.…”

Section: Introductionmentioning

confidence: 99%

Lifetime Enhancement of Wireless Sensor Network by Efficient Clustering Using Nature Inspired Algorithm

Thakur¹

2018

IJRASET

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Wireless Sensor Network (WSN) is one of the most promising and leading technology which comprises of autonomous, multifunctional, self-governing battery powered devices known as sensor nodes. These sensor nodes are intelligent enough to collect information from the sensing environment. But there are various challenges in WSN and limited energy is one of them. Nature inspired algorithms provides best solutions to various challenges in WSN. This paper proposes a decentralized clustering algorithm for WSN based on the colonial behavior of social insects i.e. honey bee. In this paper we evaluate the clustering algorithm by using first order radio model. The purpose of this research paper is to form efficient clusters by optimal selection of cluster head on the basis of parameters such as distance, centrality, node degree and energy so that minimum energy for the transmission of data to the base station is consumed. Simulation results show that the proposed algorithm reduces the energy consumption and our network survives for a longer period of time.

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A review of wireless sensor networks and its applications

Cited by 68 publications

References 11 publications

Multi-level LEACH protocol using NS-3

Multi-level LEACH protocol using NS-3

Application of WSN Fire Monitoring System in Coal Mining

Lifetime Enhancement of Wireless Sensor Network by Efficient Clustering Using Nature Inspired Algorithm

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