@Article{csse.2023.029184, AUTHOR = {Vineet Sharma, Mohammad Zubair Khan, Shivani Batra, Abdullah Alsaeedi, Prakash Srivastava}, TITLE = {Optimizing Storage for Energy Conservation in Tracking Wireless Sensor Network Objects}, JOURNAL = {Computer Systems Science and Engineering}, VOLUME = {45}, YEAR = {2023}, NUMBER = {2}, PAGES = {1211--1231}, URL = {http://www.techscience.com/csse/v45n2/50385}, ISSN = {}, 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.}, DOI = {10.32604/csse.2023.029184} }