Energy management in wireless sensor networks with energy-hungry sensors

Alippi, Cesare; Anastasi, Giuseppe; Francesco, Mario Di; Roveri, Manuel

doi:10.1109/mim.2009.4811133

Cited by 188 publications

(98 citation statements)

References 16 publications

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“…Hence this technique helps to select dynamically the sensors in a sensing field. It can be classified as the trigger level and multi scale/multilevel [12].…”

Section: Classification Of Adaptive Sensing Methodologiesmentioning

confidence: 99%

Management of Energy in Wireless Sensor Networks with Energy-Starving Sensors

Varghese¹,

Rao²

2014

IOSRJECE

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“…Hence this technique helps to select dynamically the sensors in a sensing field. It can be classified as the trigger level and multi scale/multilevel [12].…”

Section: Classification Of Adaptive Sensing Methodologiesmentioning

confidence: 99%

Management of Energy in Wireless Sensor Networks with Energy-Starving Sensors

Varghese¹,

Rao²

2014

IOSRJECE

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“…However, this assumption may not be true in many practical cases of the wireless sensor network's applications, as the consumed power of the sensing activities can be comparable or greater than that of radio [2]. Therefore, energy management in sensor level needs to consider to the amount of energy, which is consumed in all of the stages acquisition, process and transmission of data [7].…”

Section: Energy Management In Data Acquisition and Transmissionmentioning

confidence: 99%

“…In WSNs, power consumption mainly happens in three sections: sensing, communication, and data processing. Due to the environmental constraints, most of the times the batteries can neither be replaced or recharged [2]. Therefore, in order to increase the network lifetime, energy of the batteries must be used judiciously.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Energy-Efficient routing protocol for Wireless Sensor Networks

Farazandeh¹,

Abrishambaf

Uysal³

et al. 2013

2013 11th IEEE International Conference on Industrial Informatics (INDIN)

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Deployment of wireless sensor networks is rapidly increasing in many different monitoring and control applications. Design and implementation of wireless sensor networks, requires diverse knowledge from several different disciplines. Therefore, this is a new interdisciplinary technology, which has been discussed widely in the literatures.Sensor nodes of the WSNs are powered by limited resources, which are mostly the batteries with constrained energy. Design of an energy efficient routing protocol contributes to increasing the network lifetime. In this thesis, based on energy analysis of the routing protocols, a new method of data transmission is proposed. However, design and applying a routing protocol in WSNs is very application specific and can be changed for different parameters of the environment.The new proposed method is applicable for different network sizes, while the energy efficiency of the protocol is the main characteristics of the design. Moreover, some other important parameters, which affect the efficiency of the transmission, such as number of nodes and massage length, are considered during the simulations. Geliştirilen yeni yöntemde protokolun enerji verimliliği tasarım sürecinin asıl karakteristiğini oluştururken bu yöntem çeşitli ağ boyutları için uygulanabilmektedir.Bunun dışında düğüm sayıları ve mesaj uzunluğu gibi aktarma süreci üzerinde etkili olan başka parametreler de simülasyon sürecinde dikkate alınmıştır.

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“…The concept of wireless sensor networks is based on digital electronics, micro-electro-mechanical systems (MEMS) and wireless communication technology [1]. In WSN nodes are arranged in form of clusters and networks that perform an assigned monitoring task without any human interference and resolutions [2]. Sensor nodes are able to sense physical environmental information, process the acquired data both at unit and cluster level and send the result to the cluster and one or more collection points named as sinks or base stations (as shown in Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Node Deployment Models and their Performance Parameters for Wireless Sensor Network: A Perspective

PrabhaShaktawat¹,

Sharma²

2014

IJCA

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A Wireless Sensor Network (WSN) is a group of a densely distributed sensor nodes that monitors physical environmental information and send data to one or many base stations (BS) through wireless links. Node deployment is a fundamental issue which is to be solved in Wireless Sensor Networks (WSNs). Node deployment can be random or deterministic in nature. A proper node deployment scheme not only reduces the network cost but also increases degree, coverage and lifetime of a WSN with the reduction in delay. In this paper an overview of existing node deployment schemes are discussed then different parameters that enhance the efficiency are also highlighted. On the basis of that a new deployment scheme is proposed in which sensing area is divided into small circles and nodes are placed at the center and at the ends of the diameter. This pattern has two-coverage and has a degree of four. Simulation results show that proposed pattern uses fewer nodes and provides better coverage and degree than other schemes such as triangle, square and hexagon. In addition to this it is an efficient energy saver which provides minimum delay as compared to other schemes.

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Energy management in wireless sensor networks with energy-hungry sensors

Cited by 188 publications

References 16 publications

Management of Energy in Wireless Sensor Networks with Energy-Starving Sensors

Management of Energy in Wireless Sensor Networks with Energy-Starving Sensors

A Hybrid Energy-Efficient routing protocol for Wireless Sensor Networks

Node Deployment Models and their Performance Parameters for Wireless Sensor Network: A Perspective

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