A Cluster Based Localization Scheme with Partition Handling for Mobile Underwater Acoustic Sensor Networks

Area of Science:

• Computer Science
• Electrical Engineering
• Oceanography

Background:

• Underwater sensor networks (UWSNs) are vital for applications like marine monitoring and surveillance.
• Accurate node localization is critical for data interpretation in UWSNs.
• Mobile UWSNs face challenges with node tracking and network partitioning due to random movement.

Purpose of the Study:

• To develop an energy-efficient localization solution for partitioned mobile UWSNs.
• To enhance localization coverage while minimizing communication overhead.
• To address the challenges of node tracking and network partitioning in UWSNs.

Main Methods:

• A clustering technique is proposed to group unlocalized nodes in partitioned networks.
• Cluster heads are designated to perform the majority of the localization process for their clusters.
• A retransmission control scheme is introduced to reduce redundant data transmissions.

Main Results:

• The proposed method significantly reduces energy consumption in UWSNs.
• Localization coverage is maximized through efficient cluster-based localization.
• Communication overhead is minimized by controlling unnecessary transmissions.

Conclusions:

• The developed approach offers an effective solution for localizing nodes in partitioned mobile UWSNs.
• The combination of clustering and retransmission control enhances energy efficiency.
• This work contributes to the advancement of UWSN technologies for marine applications.