An Algorithm with Efficiently Collecting and Aggregating Data for Wireless Sensor Networks

Authors

  • Peng Xiong School of Electronics and Information, Shang hai Dianji University, Shanghai, China
  • Qinggang Su Chinesisch-Deutsche Kolleg für Intelligente Produktion, Shanghai Dianji University, Shanghai, China https://orcid.org/0000-0001-6111-4886

DOI:

https://doi.org/10.13052/jwe1540-9589.2033

Keywords:

collecting data, aggregating data, minimum spanning tree, cluster

Abstract

Due to the resource constraint, in wireless sensor network, the node processing ability, wireless bandwidth and battery capacity and other resources are scarcer. For improving the energy efficient and extend the lifetime of the network, this paper proposes a novel algorithm with the distributed and energy-efficient for collecting and aggregating data of wireless sensor network. In the proposed protocol, nodes can autonomously compete for the cluster head based on its own residual energy and the signal strength of its neighbouring nodes. To reduce the energy overhead of cluster head nodes, with a multi-hop way among cluster heads, the collected data from cluster heads is sent to a designated cluster head so as to further send these data to a base station. For improving the performance of the proposed protocol, a new cluster coverage method is proposed to fit the proposed protocol so that when the node density increases, network lifetime can be increased linearly as the number of nodes is increased. Simulations experiments show that network lifetime adopting the proposed protocol is sharply increased. And, the proposed protocol makes all the nodes die (network lifetime is defined as the death of last one node) in the last 40 rounds so that networks adopting the proposed protocol have higher reliability than networks adopting compared protocols.

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Author Biographies

Peng Xiong, School of Electronics and Information, Shang hai Dianji University, Shanghai, China

Peng Xiong, received the B.Sc. degree and M.Sc. degree in Electrical Engineering from Nanchang University China in 1998 and 2004, respectively, and Ph.D. degree in Computer science and technology from East China Normal University China in 2009. From 2010 on, he is a faculty member in the school of electronic information, Shanghai Dianji University China. He is a member of China Computer Federation (CCF), and his research is currently focused on network secure, wireless networks, cloud computing and big data etc.

Qinggang Su, Chinesisch-Deutsche Kolleg für Intelligente Produktion, Shanghai Dianji University, Shanghai, China

Qinggang Su, received the B.Sc. degree in Computer Science from Anhui University of Technology in 2002, and got the M.Sc. degree in Communication Engineering in Shanghai Jiao Tong University, and is studying for Ph.D. degree at East China Normal University. He became a faculty member in the school of electronic information, Shanghai Dianji University China from 2002, and he is rhe vice dean of Chinesisch-Deutsche Kolleg für Intelligente Produktion of Shanghai Dianji University now. He is a member of China Computer Federation (CCF), and his research is currently focused on wireless networks, 5G application and smart manufacturing.

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Published

2021-05-31

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Articles