IMCC protocol in heterogeneous wireless sensor network for high quality data transmission in military applications

Wireless sensor networks are greatly utilized by various applications and environments to sense and transmit the data. As wireless sensor network doesn’t have any centralized architecture, there will be various issues occurs in the network such as data transmission failure, data security issues, energy resource limitation and so on. Various authors focused these issues and published different research works to resolve these issues. In this analysis work, energy efficient and secured data transmission techniques introduced by various authors has been discussed in detailed based on their working procedure and simulation methods. And also this research work provided the overall analysis of the research work based on merits and demerits and each and every technique discussed in the literature section. And also, this research work concluded with numerical evaluation between most recent works in terms of energy consumption and security level. This numerical evaluation is done in the NS2 simulation environment.

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An Enhanced Clustering Method for Extending Sensing Lifetime of Wireless Sensor Network

Earthline Journal of Mathematical Sciences ◽

10.34198/ejms.8122.6782 ◽

2021 ◽

pp. 67-82

Author(s):

Yakubu Abdul-Wahab Nawusu ◽

Alhassan Abdul-Barik ◽

Salifu Abdul-Mumin

Keyword(s):

Wireless Sensor Network ◽

Sensor Network ◽

Network Performance ◽

Rank Order ◽

Cluster Head ◽

Residual Energy ◽

Base Station ◽

Wireless Sensor ◽

Cluster Heads ◽

Heterogeneous Wireless Sensor Network

Extending the lifetime of a wireless sensor network is vital in ensuring continuous monitoring functions in a target environment. Many techniques have appeared that seek to achieve such prolonged sensing gains. Clustering and improved selection of cluster heads play essential roles in the performance of sensor network functions. Cluster head in a hierarchical arrangement is responsible for transmitting aggregated data from member nodes to a base station for further user-specific data processing and analysis. Minimising the quick dissipation of cluster heads energy requires a careful choice of network factors when selecting a cluster head to prolong the lifetime of a wireless sensor network. In this work, we propose a multi-criteria cluster head selection technique to extend the sensing lifetime of a heterogeneous wireless sensor network. The proposed protocol incorporates residual energy, distance, and node density in selecting a cluster head. Each factor is assigned a weight using the Rank Order Centroid based on its relative importance. Several simulation tests using MATLAB 7.5.0 (R2007b) reveal improved network lifetime and other network performance indicators, including stability and throughput, compared with popular protocols such as LEACH and the SEP. The proposed scheme will be beneficial in applications requiring reliable and stable data sensing and transmission functions.

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