Secure and Robust Clustering in Wireless Sensor Networks

2008 ◽  
Author(s):  
Donggang Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Wireless Sensor ◽  
Robust Clustering

Secure and robust clustering for quantized target tracking in wireless sensor networks

2013 ◽  
Vol 15 (2) ◽  
pp. 164-172 ◽  
Author(s):  
Majdi Mansouri ◽  
Lyes Khoukhi ◽  
Hazem Nounou ◽  
Mohamed Nounou
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Target Tracking ◽  
Wireless Sensor ◽  
Robust Clustering

scholarly journals Towards Network Lifetime Enhancement of Resource Constrained IoT Devices in Heterogeneous Wireless Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (15) ◽  
pp. 4156
Author(s):  
Muhammad Salah ud din ◽  
Muhammad Atif Ur Rehman ◽  
Rehmat Ullah ◽  
Chan-Won Park ◽  
Byung Seo Kim
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Network Lifetime ◽  
Large Scale ◽  
Wireless Sensor ◽  
Resource Constrained ◽  
Robust Clustering ◽  
Computational Capability ◽  
Heterogeneous Wireless Sensor Networks

The participating nodes in Wireless Sensor Networks (WSNs) are usually resource-constrained in terms of energy consumption, storage capacity, computational capability, and communication range. Energy is one of the major constraints which requires an efficient mechanism that takes into account the energy consumption of nodes to prolong the network lifetime. Particularly in the large scale heterogeneous WSNs, this challenge becomes more critical due to high data collection rate and increased number of transmissions. To this end, clustering is one of the most popular mechanisms which is being used to minimize the energy consumption of nodes and prolong the lifetime of the network. In this paper, therefore, we propose a robust clustering mechanism for energy optimization in heterogeneous WSNs. In the proposed scheme, nodes declare themselves as cluster head (CH) based on available resources such as residual energy, available storage and computational capability. The proposed scheme employs the multi criteria decision making technique named as Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) which allows the child nodes to select the optimal CH among several potential CH candidates. Moreover, we also propose mechanisms such as CH-acquaintanceship and CH-friendship in order to prolong the network lifetime. Simulation results show that our proposed scheme minimizes the control overhead, reduces the power consumption and enhances overall lifetime of the network by comparing with the most recent and relevant proposed protocol for WSNs.

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