Abstract
Wireless sensor networks have become one of the prominent and persuasive methods for surveillance of inaccessible physical areas and are employed in innumerable applications in various fields. Some applications may require directional sensor nodes in contrast to the conventional omnidirectional ones. Many challenges emerge during deployment of such sensor networks especially in terms of energy constraints. These sensor nodes are furnished with non-rechargeable energy sources which may lead to inefficiency in the network within a very short span of time. Conserving energy of the sensor nodes by organizing the sensor nodes into cover sets and actuating them one after the other, while ensuring maintenance of the complete coverage of all targets, is one of the common approaches to extend the network lifetime. This paper addresses Q-coverage problem of directional sensor networks in which each target is required to be covered by different number of sensor nodes for effective surveillance and Q-coverage constraints are considered while segregating the sensor nodes operating in different sensing directions to a different cover sets. An approach based on genetic algorithm is proposed to find an ideal solution to the directional Q-coverage problem and the simulation results confirm that the network lifetime is prolonged.
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Anitha, M., Somasundaram, P., Balaji, S. et al. Optimal Scheduling of Directional Sensors with QoS Constraints to Enhance the Lifetime. Wireless Pers Commun 124, 741–761 (2022). https://doi.org/10.1007/s11277-021-09381-4
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DOI: https://doi.org/10.1007/s11277-021-09381-4