A survey on data aggregation mechanisms in wireless sensor networks

Siddiqui, Shama; Khan, Anwar Ahmed; Ghani, Sayeed

doi:10.1109/icict.2015.7469596

Cited by 12 publications

(5 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, since we planned to only partially implement these supplementary features, we only studied and analysed few schemes to identify the best approach for integrating them with ADP-MAC. At the end of literature survey, we were able to publish 2 surveys: the first was based on our analysis of existing channel polling mechanisms in WSN [68] and the other was based on the analysis of previous data aggregation techniques [69].…”

Section: M1: Gap Identificationmentioning

confidence: 99%

A roadmap to developing energy-efficient MAC protocol in wireless sensor networks: a case of ADP-MAC development and implementation

Siddiqui

Khan²,

Ghani

2023

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

Over the past two decades, hundreds of protocols have been developed for diversified applications of WSN corresponding to different layers in the communication stack. Among these, Media Access Control (MAC) layer protocols are of great interest due to providing possibility of optimizing performance parameters. Despite availability of a large number of survey articles, there remains a gap for a tutorial that offers guidelines about the development process of MAC protocol. In this paper, we present a detailed tutorial for developing a MAC protocol starting from the stage of research gap identification and ending at the performance evaluation. We described the journey of development and implementation of a novel asynchronous MAC protocol ADP-MAC (Adaptive and Dynamic Polling MAC) as a case study. ADP-MAC was developed by deploying a novel concept of channel polling interval distributions, and was compared against Synchronized Channel Polling- MAC (SCP-MAC) and lightweight Traffic Auto-Adaptation based MAC (T-AAD). Finally, we proposed major milestones of protocol development along with recommendations about publishing the research.

show abstract

Section: M1: Gap Identificationmentioning

confidence: 99%

A roadmap to developing energy-efficient MAC protocol in wireless sensor networks: a case of ADP-MAC development and implementation

Siddiqui

Khan²,

Ghani

2023

Mehran Univ. res. j. eng. technol.

View full text Add to dashboard Cite

show abstract

“…There are many published studies (e.g., [164][165][166]) that introduce a survey of relatively recent techniques and methods proposed for performing data aggregation in WSNs. The survey shows that improve energy consumption by reducing the transmission of redundant data and thus lengthen the network lifetime.…”

Section: Research Gapsmentioning

confidence: 99%

Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey

Farhan

Hameed

Ahmed

et al. 2021

Network

View full text Add to dashboard Cite

The last decade has witnessed the rise of the proliferation of Internet-enabled devices. The Internet of Things (IoT) is becoming ever more pervasive in everyday life, connecting an ever-greater array of diverse physical objects. The key vision of the IoT is to bring a massive number of smart devices together in integrated and interconnected heterogeneous networks, making the Internet even more useful. Therefore, this paper introduces a brief introduction to the history and evolution of the Internet. Then, it presents the IoT, which is followed by a list of application domains and enabling technologies. The wireless sensor network (WSN) is revealed as one of the important elements in IoT applications, and the paper describes the relationship between WSNs and the IoT. This research is concerned with developing energy-efficiency techniques for WSNs that enable the IoT. After having identified sources of energy wastage, this paper reviews the literature that discusses the most relevant methods to minimizing the energy exhaustion of IoT and WSNs. We also identify the gaps in the existing literature in terms of energy preservation measures that could be researched and it can be considered in future works. The survey gives a near-complete and up-to-date view of the IoT in the energy field. It provides a summary and recommendations of a large range of energy-efficiency methods proposed in the literature that will help and support future researchers. Please note that the manuscript is an extended version and based on the summary of the Ph.D. thesis. This paper will give to the researchers an introduction to what they need to know and understand about the networks, WSNs, and IoT applications from scratch. Thus, the fundamental purpose of this paper is to introduce research trends and recent work on the use of IoT technology and the conclusion that has been reached as a result of undertaking the Ph.D. study.

show abstract

“…Data aggregation is an important mechanism for achieving energy efficiency in WSNs. Many data aggregation protocols have been developed based on various techniques of optimizing delay and energy [48]. QTGrid employs a simple and efficient lossless data aggregation method to ensure data integrity.…”

Section: Qtgrid Routing Protocolmentioning

confidence: 99%

Energy-Efficient Spatial Query-Centric Geographic Routing Protocol in Wireless Sensor Networks

Wang

Liu

Wang

et al. 2019

Sensors

View full text Add to dashboard Cite

In data-centric wireless sensor networks (WSNs), sensing data have a high time–space correlation. Most queries are spatial and used to obtain data in a defined region. Geographic routing (GR) protocols are the optimal choice for routing spatial queries. However, several drawbacks still exist in GRs, and these the include premature death of nodes and communication latency, which result in reduced network life and query efficiency. A new clustering GR protocol called quadtree grid (QTGrid) was proposed in this study to save energy and improve spatial query efficiency. First, the monitoring area was logically divided into clusters by a quadtree structure, and each grid’s location was encoded to reduce the memory overhead. Second, cluster head (CH) nodes were selected based on several metrics, such as distance from the candidate node to the grid center and adjacent CHs and residual energy. Third, the next-hop routing node was selected depending on the residual energy of the candidate node and its distance to the sink node. Lastly, a lossless data aggregation algorithm and a flexible spatial query algorithm were adopted to reduce the transmission of redundant data and meet the application requirements, respectively. Simulation results showed that compared with three related protocols, QTGrid has lower energy consumption and higher spatial query efficiency and is more suitable for large-scale WSN spatial query application scenarios.

show abstract

A survey on data aggregation mechanisms in wireless sensor networks

Cited by 12 publications

References 15 publications

A roadmap to developing energy-efficient MAC protocol in wireless sensor networks: a case of ADP-MAC development and implementation

A roadmap to developing energy-efficient MAC protocol in wireless sensor networks: a case of ADP-MAC development and implementation

Energy Efficiency for Green Internet of Things (IoT) Networks: A Survey

Energy-Efficient Spatial Query-Centric Geographic Routing Protocol in Wireless Sensor Networks

Contact Info

Product

Resources

About