ESAM: Endocrine inspired Sensor Activation Mechanism for multi-target tracking in WSNs

Ma, Maode, Adil Mahdi, Omar, Wahab, Ainuddin Wahid Abdul, Idris, Mohd Yamani Idna, Znaid, Ammar Abu, Khan, Suleman and Al-Mayouf, Yusor Rafid Bahar (2016) ESAM: Endocrine inspired Sensor Activation Mechanism for multi-target tracking in WSNs. In: Fourth International Conference on Wireless and Optical Communications, 4th - 6th June 2016, Beijing, China.

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1117/12.2262089

Abstract

Target tracking is a significant application of wireless sensor networks (WSNs) in which deployment of self-organizing and energy efficient algorithms is required. The tracking accuracy increases as more sensor nodes are activated around the target but more energy is consumed. Thus, in this study, we focus on limiting the number of sensors by forming an ad-hoc network that operates autonomously. This will reduce the energy consumption and prolong the sensor network lifetime. In this paper, we propose a fully distributed algorithm, an Endocrine inspired Sensor Activation Mechanism for multi target-tracking (ESAM) which reflecting the properties of real life sensor activation system based on the information circulating principle in the endocrine system of the human body. Sensor nodes in our network are secreting different hormones according to certain rules. The hormone level enables the nodes to regulate an efficient sleep and wake up cycle of nodes to reduce the energy consumption. It is evident from the simulation results that the proposed ESAM in autonomous sensor network exhibits a stable performance without the need of commands from a central controller. Moreover, the proposed ESAM generates more efficient and persistent results as compared to other algorithms for tracking an invading object.

Item Type: Conference or Workshop Item (Paper)
Subjects: G400 Computer Science
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Paul Burns
Date Deposited: 21 Oct 2019 14:59
Last Modified: 21 Oct 2019 14:59
URI: http://nrl.northumbria.ac.uk/id/eprint/41182

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