Abstract
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.
Highlights
The future is auspicious for our information gathering and processing needs
Advances in microsensor technology and collaborative micro sensing explain this promising future of intelligent data collection, processing, and fast and reliable communication
The size and cost of microsensors have decreased over the years due to advances in micro electromagnetic electronics systems (MEMS), making microsensors the preferred choice for collecting, compute and transferring data
Summary
Advances in microsensor technology and collaborative micro sensing explain this promising future of intelligent data collection, processing, and fast and reliable communication. The size and cost of microsensors have decreased over the years due to advances in micro electromagnetic electronics systems (MEMS), making microsensors the preferred choice for collecting, compute and transferring data. These sensors are not robust and handy as needed. Wireless sensor network provides such collaborative data collection and processing needs. A wireless sensor network is an interconnected system of small, inexpensive, and densely deployed intelligent agents that perceive and initiate the necessary processing, fusion, and data transmission
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