Data Aggregation Routing Protocol for Efficient Routing Maintenance in Wireless Sensor Network Communication

References

[1] Wang Ke, Ou Yangrui, Ji Hong and Zhang Heli, Li Xi, “Energy aware hierarchical cluster-based routing protocol for WSNs”, The Journal of China, Universities of Posts and Telecommunications, Elsevier, Volume 23, Issue 4, August 2016, Pages 46–52

[2] Wenbo Zhang, Guangjie Han, Yongxin Feng and Jaime Lloret, “IRPL: An Energy Efficient Routing Protocol for Wireless Sensor Networks”, Journal of Systems Architecture, Volume 75, April 2017, Pages 35–49

[3] Yunquan Dong, Jian Wang, Byonghyo Shim, and Dong In Kim, “DEARER: A Distance-and-Energy-Aware Routing with Energy Reservation for Energy Harvesting Wireless Sensor Networks”, IEEE Journal on Selected Areas in Communications, Volume 34, Issue 12, December 2016, Pages 3798-3813

[4] Chen Wang, Hongbo Jiang, Tianlong Yu and John C. S. Lui, “SLICE: Enabling Greedy Routing in High Genus 3-D WSNs with General Topologies”, IEEE/ACM Transactions on Networking, Volume 24, Issue 4, August 2016, Pages 2472 – 2484

[5] Lapas Pradittasnee, Seyit Camtepe, and Yu-Chu Tian “Efficient Route Update and Maintenance for Reliable Routing in Large-Scale Sensor Networks”, IEEE Transactions on Industrial Informatics, Volume 13, Issue 1, February 2017, Pages 144 – 156

[6] Jungmin So and Heejung Byun, “Load-Balanced Opportunistic Routing for Duty-Cycled Wireless Sensor Networks”, IEEE Transactions on Mobile Computing, Volume 16, Issue 7, July 2017, Pages 1940 – 1955

[7] Quentin Bramas and Sebastien Tixeuil, “The complexity of data aggregation in static and dynamic wireless sensor networks”, Symposium on Self-Stabilizing Systems, Springer, Pages 36-50

[8] Ngoc-Tu Nguyen, Bing-Hong Liu, Van-Trung Pham, Yi-Sheng Luo, “On Maximizing the Lifetime for Data Aggregation in Wireless Sensor Networks Using Virtual Data Aggregation Trees” Computer Networks, Elsevier, Volume 105, 4 August 2016, Pages 99-11

[9] Samaneh Abbasi-Daresari and Jamshid Abouei “Toward cluster-based weighted compressive data aggregation in wireless sensor networks”, Ad Hoc Networks, Elsevier, Volume 36, January 2016, Pages 368-385

[10] Prabhudutta Mohanty and Manas Ranjan Kabat, “Energy efficient structure-free data aggregation and delivery in WSN”, Egyptian Informatics Journal, Elsevier, Volume17, January 2016, Pages 273–284

[11] Antoni Morell, Alejandro Correa, Marc Barcelo, Jose Lopez Vicario, “Data Aggregation and Principal Component Analysis in WSNs”, IEEE Transactions on Wireless Communications, Volume 15, Issue 6, June 2016, Pages 3908 – 3919

[12] Dariush Ebrahimi and Chadi Assi “On the Interaction between Scheduling and Compressive Data Gathering in Wireless Sensor Networks”, IEEE Transactions on Wireless Communications, Volume 15, Issue 4, April 2016, Pages 2845 – 2858

[13] Saeid Pourroostaei Ardakani, Julian Padget and Marina De Vos “CBA: a Cluster-Based client/server data Aggregation routing protocol”, Ad hoc Networks, Elsevier, Volume 5, 2016, Pages 1–33

[14] Yao Lu, Ioan-Sorin Comsa, Pierre Kuonen and Beat Hirsbrunner, “Adaptive data aggregation with probabilistic routing in wireless sensor networks”, Wireless Networks, Springer, Volume 22, Issue 8, November 2016, Pages 2485–2499

[15] Saeid Pourroostaei Ardakani, Julian Padget, Marina De Vos, “A Mobile Agent Routing Protocol for Data Aggregation in Wireless Sensor Networks”, International Journal of Wireless Information Networks, Springer, Volume 24, Issue 1, March 2017, Pages 27–41

@article{1703801,
      author = {Vimalathithan A, Dr. A. Suresh},
      title = {Data Aggregation Routing Protocol for Efficient Routing Maintenance in Wireless Sensor Network Communication},
      journal = {Iconic Research And Engineering Journals},
      year = {2022},
      volume = {6},
      number = {3},
      pages = {34-43},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1703801.pdf},
      abstract = {Wireless Sensor Network (WSN) is formed by group of sensor nodes without using any infrastructure or centralized control. The sensor nodes in a network are wirelessly connected in order to accumulate and report the environmental data. The sensor nodes in WSN are organized in a self-organizing manner. WSN consuming several constrained resources in terms of energy, computation, communication and storage to carry out three tasks such as physical quantity measurement, processing the sensed data and data information transmission to sinks node for consumer access. In WSNs, the routing i.e (broadcasting the data packets from source to sink node) is the significant task. The WSN routing is carried out by the interconnecting the sensor nodes through either single or multi-hop paths. In addition, data aggregation plays an essential role to conserve the energy by avoiding redundant data transmission in WSNs. Data aggregation is the collection of data packets from various nodes and combine them by implementing the data aggregation function to provide results in summary form for further analysis.  But, while performing data aggregation and routing process to maintain the route for data transmission, the energy efficiency is the major concern in WSN. Therefore, our research work is focused on ensuring the route maintenance with improved network lifetime and minimized energy consumption.},
      keywords = {Wireless Sensor Network, Routing, Data Aggregation, Route Maintenance, Energy Consumption, Network Lifetime.},
      month = {September},
  }