Thursday 28th of March 2024
 

An Efficient Energy Model for Mobile Target Tracking in Wireless Sensor Networks


Mustafa S. Aljumaily and Ghaida A. Alsuhail

In this paper, an improved energy efficient target tracking protocol using mobile agents method was suggested. In fact, many target tracking protocols have been recently proposed to handle resource limitations of tiny wireless sensor nodes. Some of these limitations include limited energy resources, limited communication and sensing ranges, limited processing and storage capacities, working in inhospitable and hostile regions, employing in large numbers, distributed and cooperative nature or work among sensors,...etc. Considered as the backbone for the emerging Internet of Things (IoT), Wireless Sensor Networks (WSN) still have many issues that are facing researchers working in this field. We propose two solutions to get rid of redundant communications among sensor nodes used for detecting a target. First, we provide an effective scheme between the received signal strength (RSS) indicator and a predefined RSS threshold which is called (TTP-RSS), in order to ensure preventing farther sensor nodes from participating in tracking the detected target. Second, when the identifications (ID) of the control messages are also re-encoded in order to achieve low energy consumption per each sensor, then another improvement can be introduced as TTP-MESS.

Keywords: Algorithms, Management, Measurement, Performance, Design, Wireless sensor networks, mobile target tracking, lifetime, energy consumption.

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ABOUT THE AUTHORS

Mustafa S. Aljumaily
PhD Candidate in the Electrical Engineering and Computer Science Department in the University of Tennessee, Knoxville since 2015

Ghaida A. Alsuhail
Assistant Professor in the Computer Engineering Department in the College of Engineering, University of Basrah, Iraq


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