Optimizing physical-layer parameters for wireless sensor networks

Holland, Matthew; Wang, Tianqi; Tavlı, Bülent; Seyedi, Alireza; Heinzelman, Wendi

doi:10.1145/1921621.1921622

Cited by 69 publications

(43 citation statements)

References 17 publications

(19 reference statements)

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“…Holland et al, [15] proposed Optimizing Physical Layer Parameters for Wireless Sensor Networks, it consider the energy efficient data transmission over noisy channel and consider the physical layer parameters. This work finds the optimal hop to transmit the data bits.…”

Section: Literature Surveymentioning

confidence: 99%

ZEMDC: Zone based Energy efficient Mobile Data Collector in Wireless Sensor Networks

Vijay¹,

Banga²,

Vinayakamurthy³

et al. 2017

IJIES

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Abstract:The primary objective of wireless sensor networks (WSNs) is to collect data from physical environment. Transmission of data to longer distance consumes more energy, increases the interference and that minimizes the network life time and throughput. In order to overcome this problem we proposed zone based energy efficient mobile data collector for WSN. This technique maintains energy variance level minimum among all nodes by selecting precise and equal sized hop length. Here all nodes transmit data up to specified optimal hop length distance. In proposed algorithm each node requires constant power for transmission and energy discharge is uniform that enhances the network life time. This technique involves zone head and associate zone head in which, the zone head uploads data to mobile data collector, in turn associate zone head acts as zone head and collects data form sensor nodes. Our simulation results shows that ZEMDC provides better performance when compare with other state of art works.

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Section: Literature Surveymentioning

confidence: 99%

ZEMDC: Zone based Energy efficient Mobile Data Collector in Wireless Sensor Networks

Vijay¹,

Banga²,

Vinayakamurthy³

et al. 2017

IJIES

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“…The sensed data need to be amplified and modulated in order to minimize the loss of information. Each of these processes involves an electronic circuit that consumes a considerable level of energy [8] Holland et al [10] proposed a method of finding the optimum physical layer parameters to minimize energy dissipation in a multi-hop wireless sensor network. A metric that specifies the energy per successfully received bit (ESB).…”

Section: Physical Layermentioning

confidence: 99%

Energy Efficiency Mechanisms in Wireless Sensor Networks: A Survey

Anandbabu¹,

Siddaraju²,

Guru³

2016

IJCA

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Wireless Sensor Network (WSN) is one of the emerging research domains which have posed numerous unique challenges to researchers. The low cost MEMS and low processing capability with ultra low power consumption and low range wireless communication makes it lucrative for being exploited in abundance in future. The inbuilt limitation of energy in the sensor nodes which demanded every functionality of WSNs to be energy efficient. In this survey, an attempt is made to study the energy efficient approaches in WSNs. Classification of energy efficient approaches in WSNs is proposed and It also overviews ongoing research approaches, and provides discussion and provision of some design issues and requirements for building energy efficient mechanisms for WSNs.

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“…A generic numerical calculation approach using MATLAB is presented in [9]. This algorithm exhaustively searches the design space and determines the optimum point to give the highest performance objective.…”

Section: Related Workmentioning

confidence: 99%

Efficient global optimization of multi-parameter network problems on wireless testbeds

et al. 2015

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A large amount of research focuses on experimentally optimizing the performance of wireless solutions. Finding the optimal performance settings typically requires investigating all possible combinations of design parameters, while the number of required experiments increases exponentially for each considered design parameter. The aim of this paper is to analyze the applicability of global optimization techniques to reduce the optimization time of wireless experimentation. In particular, the paper applies the Efficient Global Optimization (EGO) algorithm implemented in the SUrrogate MOdeling (SUMO) toolbox inside a wireless testbed. Moreover, to cope with the unpredictable nature of wireless testbeds, the paper applies an experiment outlier detection which monitors outside interference and verifies the validity of conducted experiments. The proposed techniques are implemented and evaluated in a wireless testbed using a realistic wireless conferencing scenario. The performance gain and experimentation time of a SUMO optimized experiment is compared against an exhaustively searched experiment. In our proof of concept, it is shown that the proposed SUMO optimizer reaches 99.79% of the global optimum performance while requiring 8.67 times less experiments compared to the exhaustive search experiment.

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Optimizing physical-layer parameters for wireless sensor networks

Cited by 69 publications

References 17 publications

ZEMDC: Zone based Energy efficient Mobile Data Collector in Wireless Sensor Networks

ZEMDC: Zone based Energy efficient Mobile Data Collector in Wireless Sensor Networks

Energy Efficiency Mechanisms in Wireless Sensor Networks: A Survey

Efficient global optimization of multi-parameter network problems on wireless testbeds

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