Open Access

ARTICLE

Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects

Vineet Sharma¹, Mohammad Zubair Khan^2,*, Shivani Batra¹, Abdullah Alsaeedi³, Prakash Srivastava⁴

1 Department of Computer Science and Engineering, KIET Group of Institutions, Delhi-NCR, Ghaziabad, 201206, India
2 Department of Computer Science and Information, Taibah University, Medina, 42353, Saudi Arabia
3 Department of Computer Science, Taibah University, Medina, 42353, Saudi Arabia
4 Department of Computer Science and Engineering, Graphic Era (Deemed to be University), Dehradun, 248002, India

* Corresponding Author: Mohammad Zubair Khan. Email:

Computer Systems Science and Engineering 2023, 45(2), 1211-1231. https://doi.org/10.32604/csse.2023.029184

Received 27 February 2022; Accepted 16 May 2022; Issue published 03 November 2022

Abstract

The amount of needed control messages in wireless sensor networks (WSN) is affected by the storage strategy of detected events. Because broadcasting superfluous control messages consumes excess energy, the network lifespan can be extended if the quantity of control messages is decreased. In this study, an optimized storage technique having low control overhead for tracking the objects in WSN is introduced. The basic concept is to retain observed events in internal memory and preserve the relationship between sensed information and sensor nodes using a novel inexpensive data structure entitled Ordered Binary Linked List (OBLL). Whenever an object passes over the sensor area, the recognizing sensor can immediately produce an OBLL along the object’s route. To retrieve the entire information, the OBLL can be traversed with logarithmic complexity which is much less than the traversing complexity of existing linked list structures. Performance evaluation and simulations were carried out to ensure that the suggested technique minimizes the number of messages and thus saving energy and extending the network life.

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Keywords

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