Abstract
Conventional researches on target coverage in directional sensor networks (DSNs) mainly focus to increase the network lifetime, overlooking the coverage quality of targets, especially they don't consider the targets that have heterogeneous coverage requirements. Increasing sensing quality is of the utmost importance to ensure comfort living in smart cities. In this paper, we have designed a generalized framework, namely maximizing coverage quality with minimum number of sensors in DSN (MQMS-DSN) that has the ability to maximize the target coverage quality, or the network lifetime, or to make an efficient tradeoff in between the two following application demand. Using a probabilistic model for measuring the sensing coverage quality, we have developed optimal, suboptimal, and greedy solutions for MQMS problem. Empirical evaluations of the proposed MQMS systems have been carried out in network simulator version 3 (ns-3). The results show the effectiveness of the proposed systems compared with the state-of-theart-works in terms of sensing quality and network lifetime.