Data Aggregation in Software-Defined Wireless Sensor Networks: A Review

Egidius, Pineas M.; Abu‐Mahfouz, Adnan M.; Ndiaye, Musa; Hancke, Gerhard P.

doi:10.1109/icit.2019.8755186

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…This results in continuous exchange of control messages between the central controller and the nodes. The continuous transmission of control messages impairs the quality of radio communication and drains the nodes' energy To reduce the updates of the flow table, Pineas et al [16] proposed a flow aggregation mechanism to improve energy consumption, network performance, and lifetime, but this could lead to expected errors including accessibility failures, routing loops, and network traffic isolation. The works in [17], [18], and [19] investigated the potential for distributing the control system to minimize congestion and address WSN 's perpetual limitations.…”

Section: Introductionmentioning

confidence: 99%

Design of a Minimal Overhead Control Traffic Topology Discovery and Data Forwarding Protocol for Software-Defined Wireless Sensor Networks

Asakipaam

Kponyo

Agyemang

et al. 2022

Int. j. commun. netw. inf. secur.

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Software-defined networking is a novel concept that is ported into wireless sensor networks to make them more manageable and customizable. unfortunately, the topology discovery and maintenance processes generate high overhead control packet exchange between the sensor nodes and the central controller leading to a deterioration of the network's performance. In this paper, a novel minimal overhead control traffic topology discovery and data forwarding protocol is proposed and detailed. The proposed protocol requires some changes to the topology discovery protocol implemented in SDN-WISE to improve its performance. The proposed protocol has been implemented within the IT-SDN framework for evaluation. The results show reduced overhead control traffic and increase, of about 20%, data packet delivery rate over the protocol in SDN-WISE.

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Section: Introductionmentioning

confidence: 99%

Design of a Minimal Overhead Control Traffic Topology Discovery and Data Forwarding Protocol for Software-Defined Wireless Sensor Networks

Asakipaam

Kponyo

Agyemang

et al. 2022

Int. j. commun. netw. inf. secur.

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show abstract

“…Distances among the nodes and their CHs can be decreased by increasing the number of clusters in the WSN. In addition, clustering decreases the redundancy of the nodes' data, since the CH may apply an innetwork data aggregation (IDA) procedure (based on the mean, the max, or the min of the received data [15]) from the nodes and only transmits aggregated data, using MHR, to the next nearest CH toward the BS, which is the final destination. Like WSN, CRSN nodes consume energy to perform several operations: physical sensing, clustering election, data transmission, etc.…”

Section: Introductionmentioning

confidence: 99%

In-Network Data Aggregation for Ad Hoc Clustered Cognitive Radio Wireless Sensor Network

Mortada

Nasser

Mansour

et al. 2021

Sensors

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In cognitive radio wireless sensor networks (CRSN), the nodes act as secondary users. Therefore, they can access a channel whenever its primary user (PU) is absent. Thus, the nodes are assumed to be equipped with a spectrum sensing (SS) module to monitor the PU activity. In this manuscript, we focus on a clustered CRSN, where the cluster head (CH) performs SS, gathers the data, and sends it toward a central base station by adopting an ad hoc topology with in-network data aggregation (IDA) capability. In such networks, when the number of clusters increases, the consumed energy by the data transmission decreases, while the total consumed energy of SS increases, since more CHs need to perform SS before transmitting. The effect of IDA on CRSN performance is investigated in this manuscript. To select the best number of clusters, a study is derived aiming to extend the network lifespan, taking the SS requirements, the IDA effect, and the energy consumed by both SS and transmission into consideration. Furthermore, the collision rate between primary and secondary transmissions and the network latency are theoretically derived. Numerical results corroborate the efficiency of IDA to extend the network lifespan and minimize both the collision rate and the network latency.

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Leveraging data aggregation algorithm in LoRa networks

Gupta

Snigdh

2022

J Supercomput

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Data Aggregation in Software-Defined Wireless Sensor Networks: A Review

Cited by 5 publications

References 31 publications

Design of a Minimal Overhead Control Traffic Topology Discovery and Data Forwarding Protocol for Software-Defined Wireless Sensor Networks

Design of a Minimal Overhead Control Traffic Topology Discovery and Data Forwarding Protocol for Software-Defined Wireless Sensor Networks

In-Network Data Aggregation for Ad Hoc Clustered Cognitive Radio Wireless Sensor Network

Leveraging data aggregation algorithm in LoRa networks

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