Data Aggregation Techniques in Wireless Sensors Networks: A survey

Ali, Syed; Giweli, Nabil; Dawoud, Ahmed; Prasad, P. W. C.

doi:10.1109/citisia53721.2021.9719939

Cited by 5 publications

(2 citation statements)

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“…Ali, et al [8] (i) Presents a classification of some of the recent works based on the nature of data and data sets (multimedia, data packets, encrypted data, etc.). (ii) Surveys data aggregation techniques in the context of network life-time, network capacity, eliminating data redundancy, security etc.…”

Section: Survey Areas Coveredmentioning

confidence: 99%

“…They discussed the application of performance metrics such as resource (data and energy) efficiency, network topology (cluster, tree, chain and grid), and network lifetime in evaluating various data aggregation approaches in WSNs. Ali et al [8], have carried out a detailed analysis of data aggregation techniques aimed at reducing power consumption and network traffic. In IoT applications, issues related to network heterogeneity and node mobility need to be factored into the data aggregation schemes.…”

Section: Introductionmentioning

confidence: 99%

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A Survey of Data Aggregation Protocols for Energy Conservation in WSN and IoT

Begum

Nandury

2022

Wireless Communications and Mobile Computing

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Conservation of energy has been a major concern for Wireless Sensor Networks (WSNs) and IoT applications. Several strategies were devised, aimed at optimizing energy consumption in these applications, based on: (a) use of low-powered hardware devices, (b) deploying mobile/relay agents for data collection, (c) clustering, and (d) data aggregation. Amongst these, data aggregation is widely acknowledged as an important tool to conserve energy in WSN and IoTs. The paper provides a comprehensive survey of various data aggregation strategies, discusses the efficacy of these strategies in handling issues that are typical to WSN and IoT applications. These issues severely impact the performance metrics such as: energy efficiency, latency, fault-tolerance, network throughput, and network lifetime. Therefore, to optimize the data aggregation approach, an application developer needs to arrive at optimal tradeoffs between these parameters. A major contribution of the paper is to present a holistic review of data aggregation approaches emphasizing the effect of topology, security, mobility, interference, and fault-tolerance in WSN and IoTs. Based on gap areas in literature, we throw open few challenges and present them as “posers”, and put-forth suggestions for further research.

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Section: Survey Areas Coveredmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%