Скачать или смотреть DESIGN OF DEACP ALGORITHM IN LARGE-SCALE MOBILE WIRELESS SENSOR NETWORKS

This project aims to propose a novel hierarchical approach called distributed energy-efficient adaptive clustering protocol (DEACP) with data gathering, load-balancing and self-adaptation for wireless sensor networks (WSN). The project proposed DEACP approach to reach the following objectives: reduce the overall network energy consumption, balance the energy consumption among the sensors and extend the lifetime of the network, the clustering must be completely distributed, the clustering should be efficient in complexity of message and time, the cluster-heads should be well-distributed across the network, the load balancing should be done well and the clustered WSN should be fully connected. Simulations show that DEACP clusters have good performance characteristics.

Motivations
There are several requirements for our clustering algorithm:
• DEACP clustering should be completely distributed because a centralized control manner is not practical in a large-scale sensor network;
• the CHs should be well distributed to make energy consumption be well-balanced among all sensor devices; and
• DEACP algorithm has the advantage of minimizing the routing control messages and therefore can safely operate from an energy efficiency perspective.

Reference Paper: Using adaptive clustering scheme with load balancing to enhance energy efficiency and reliability in delay tolerant with QoS in large-scale mobile wireless sensor networks

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