Power Saving and Energy Optimization Techniques for Wireless Sensor Neworks (Invited Paper)

Sendra, Sandra; Lloret, Jaime; García, Miguel; Toledo, J.F.

doi:10.4304/jcm.6.6.439-459

Cited by 147 publications

(102 citation statements)

References 55 publications

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“…Sendra et al present in [15] different techniques for saving energy in wireless sensor networks. The paper shows how a sensor node must be and the relationship between the quantity of information transmitted and the power consumption by the hardware used.…”

Section: Related Workmentioning

confidence: 99%

Energy Consumption of Wireless Network Access Points

Andrade-Morelli

Ruiz-Sánchez

Granell

et al. 2013

Green Communication and Networking

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Abstract. The development of low cost technology based on IEEE 802.11 standard permits to build telecommunication networks at low cost, allowing providing Internet access in rural areas in developing countries. The lack of access to the electrical grid is a problem when the network is being developed in rural areas, so that wireless access points should operate using solar panels and batteries. Many cases can be found where the energy consumption becomes a key point in wireless network design. In this paper we present a comparative study of the energy consumption of several wireless network access points. We will compare the energy consumption of different brands and models, for several operation scenarios and operating modes. Obtained results allow us to achieve the objective of this article, that is, promote the development of wireless communication networks energetically efficient.

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Section: Related Workmentioning

confidence: 99%

Energy Consumption of Wireless Network Access Points

Andrade-Morelli

Ruiz-Sánchez

Granell

et al. 2013

Green Communication and Networking

Self Cite

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“…Sendra et al [10] discussed energy saving and optimization techniques by analyzing device hardware, transmission view, MAC and routing protocols points.…”

Section: Literature Surveymentioning

confidence: 99%

Modern Query Optimization Technique (Nature Inspired) for Improving Energy Efficient Data Gathering and Processing in Wireless Sensor Networks

Chakravarthi¹,

Aggarwal²

2015

IJCA

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One of the main obstacles in wireless sensor networks is limited energy and memory constraints. In wireless sensor network, communication among the nodes is the most energy consuming activity and needs to be minimized in terms of data size and number of communications. To overcome these obstacles the earlier research works introduced several techniques and methods for query optimization. Data aggregation, efficient routing, secured data transmission, secured communication, storage maintenance and various heuristics are some of the approaches introduced earlier. The main objective of this work is to accomplish better efficiency in terms of energy and data storage maintenance. To achieve this goal, a Modern Query Optimization [MQO] technique is proposed in this paper. MQO works at three levels namely (i) Monitoring the query and the path (ii) Tracking the data along with the node information and (iii) Choosing optimum nodes in a best path for data gathering based on query's lifetime. Artificial Immune System [6] algorithm along with the proposed three modifications is used to optimize the queries. The authors have simulated this modified algorithm in MatLab and the results show enhancement in efficiency.

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“…Sensor nodes in WSN have very limited abilities in terms of energy, memory, computational power and communication capacity (Sendra et al, 2011;Khan et al, 2013). In order to preserve the energy, the data aggregation technique is introduced.…”

Section: Data Aggregationmentioning

confidence: 99%

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

Nasir¹,

Ku-Mahamud²,

Kamioka³

2017

Journal of Computer Science

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Wireless Sensor Network (WSN) has been widely implemented in large sectors such as military, habitat, business, industrial, health and environment. WSN is part of a distributed system where elements such as routing, load balancing, energy efficiency, node localization, time synchronization, data aggregation and security need to be addressed to improve its efficiency, robustness, extendibility, applicability and reliability. Despite multiple approaches proposed to improve all these aspects, there is still room for improvement in order to enhance the capability of WSN in terms of routing and energy efficiency. Ant Colony Optimization (ACO) is one of the approaches used to extend WSN capabilities because its heuristic nature is very suitable with distributed and dynamic environments. This study covers the common WSN aspects and performance evaluation criteria in addition to the list of previous studies that have used ACO approaches in WSN.

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Power Saving and Energy Optimization Techniques for Wireless Sensor Neworks (Invited Paper)

Cited by 147 publications

References 55 publications

Energy Consumption of Wireless Network Access Points

Energy Consumption of Wireless Network Access Points

Modern Query Optimization Technique (Nature Inspired) for Improving Energy Efficient Data Gathering and Processing in Wireless Sensor Networks

Ant Colony Optimization Approaches in Wireless Sensor Network: Performance Evaluation

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