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Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects

Vineet Sharma1, Mohammad Zubair Khan2,*, 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: email

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

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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Cite This Article

V. Sharma, M. Z. Khan, S. Batra, A. Alsaeedi and P. Srivastava, "Optimizing storage for energy conservation in tracking wireless sensor network objects," Computer Systems Science and Engineering, vol. 45, no.2, pp. 1211–1231, 2023.



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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