Data Aggregation Routing for Rechargeable Wireless Sensor Networks in Forest Monitoring

Gao, Demin; Liu, Yunfei; Zhang, Fuquan; Song, Jun

doi:10.1007/s11277-014-1886-9

Cited by 10 publications

(5 citation statements)

References 19 publications

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“…EH nodes need to spend their energy resources at a pace that avoids over and under energy consumption, which causes overflow and depletion, respectively 15 . Gao et al 16 proposed a data compression approach for EH nodes, which is a reactive solution that dynamically changes the compression level of the nodes according to the harvested energy. The authors proposed an in‐network approach that assigns a low compression level for the nodes with high residual energy and low communication costs.…”

Section: Related Workmentioning

confidence: 99%

“…The analysis of related works reveals a lack of approaches for communication management in heterogeneous DIoT environments. 16,17 Yang et al 18 is one of the few works that considers devices powered by heterogeneous energy sources and proposes an algorithm to manage the energy consumption of the devices. Similarly, Mukherjee et al 19 proposed a three-state Markov chain model to wake up more frequently non-EH nodes when energy harvested is low.…”

Section: Energy Balancing Of (Non-)eh Nodesmentioning

confidence: 99%

See 1 more Smart Citation

Autonomic management of group communication for Internet of Things applications

Riker

Mota

Rosário

et al. 2022

Int J Communication

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Dense Internet of Things (DIoT) is fazed by message loss, congestion, and energy consumption, due to a large number of connected devices. One of the main challenges in DIoT environments is to achieve self-adaptable communication without human intervention, where the system is able to dynamically manage its own settings to mitigate common problems. Seeking to promote self-adaptability in DIoT, this paper presents the Autonomic management of GRoup communication for intErnEt of thiNgs applications (AGREEN). It is an autonomous solution for IoT platforms that configures the communication settings to ensure the dynamic control of IoT devices considering a comprehensive set of aspects, such as traffic loss, sensing relevance, amount of energy harvested, and the number of monitoring nodes with renewable and nonrenewable energy. Extensive evaluation results show that AGREEN is able to autonomously change the number of nodes in the monitoring group and to improve system performance in terms of message loss, energy consumption, and communication interval compared to standard protocols designed for IoT.

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Section: Related Workmentioning

confidence: 99%

Section: Energy Balancing Of (Non-)eh Nodesmentioning

confidence: 99%

Autonomic management of group communication for Internet of Things applications

Riker

Mota

Rosário

et al. 2022

Int J Communication

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“…Gao et al [11] address data aggregation in energy harvesting networks. This paper proposes a reative solution that dynamically changes the aggregation level of the nodes according to the harvested energy.…”

Section: Related Workmentioning

confidence: 99%

“…The solution stops to increase the aggregation level if the node's energy consumption exceeds the energy extracted from the ambient. Although this solution performs data aggregation in energy harvesting networks, the following aspects differentiate this work from DAV-NET: (i) the data aggregation used by Gao et al [11] is a coding technique that compresses the data, (ii) it is a centralized solution, and (iii) as the data aggregation level depends on solely the amount of harvested energy, the authors do not show how the proposed solution computes the data aggregation level when there is no harvested energy from the ambient (e.g. during periods of no or low solar irradiation).…”

Section: Related Workmentioning

confidence: 99%

Data aggregation for machine-to-machine communication with energy harvesting

Riker

Cerqueira

Curado

et al. 2015

2015 IEEE International Workshop on Measurements &Amp; Networking (M&N)

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Machine-to-Machine (M2M) communications have emerged as a new concept for the next generation of sensing and actuating systems. With the recent emergence of energy harvesting technologies, the current communication solutions have addressed the problem of controlling the data communication to regulate efficiently the energy consumption, aiming to avoid under and overuse of energy. However, these solutions do not consider data aggregation as means of controlling the network traffic. To fill this gap, this paper proposes the Data Aggregation for energy harVesting NETworks (DAV-NET), which regulates the energy consumption in accordance with the residual energy stored in the batteries, exploiting the data aggregation capabilities to control the network traffic. The performed simulations show that the proposed solution is able to regulate the energy consumption in case of abundant or scarce energy, controlling the aggregation level in a distributed fashion.978-1-4799-1860-7/15/$31.00 ©2015 IEEE This full text paper was peer-reviewed at the direction of IEEE Instrumentation and Measurement Society prior to the acceptance and publication.

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“…There might be different kinds of sensor nodes in a network, some nodes with basic functionalities and some with expensive special functionalities. The network may be distributed over a small field, in a household, in an industry, or it can be a operating over a large forest [1], deep oceans [2], health care [3] or a traffic monitoring [2] network in a city. Wireless sensor networks are not limited by the type of data they monitor.…”

Section: Introdutionmentioning

confidence: 99%

An Approach for Location Verification using Atomic Localization in Wireless Sensor Networks

Kumar¹,

Krishna²,

kumar³

et al. 2018

IJCA

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We propose a location verification mechanism, for localization of wireless sensor networks through atomic localization. Atomic localization shows remarkable change in ability to localize in case of low density networks. It is a range based localization technique that forms groups where each node will be able to share beacon signals to its adjacent neighbour. Detection of malicious locators, whose locations are tampered with, is more accurate and any node can verify its location by checking for consistency. Checking for consistency can eliminate the complexity of digital signatures and authentication mechanisms, assuming the number of malicious locators is less than benign locators. This method also reduces the number of left alone nodes which cannot receive beacon signal directly from locators. Over all the mean square estimation error and number of left alone nodes when using atomic localization is considerably low.

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Data Aggregation Routing for Rechargeable Wireless Sensor Networks in Forest Monitoring

Cited by 10 publications

References 19 publications

Autonomic management of group communication for Internet of Things applications

Autonomic management of group communication for Internet of Things applications

Data aggregation for machine-to-machine communication with energy harvesting

An Approach for Location Verification using Atomic Localization in Wireless Sensor Networks

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