No abstract

No abstract

No abstract

In this paper, a range-free, passive, and autonomous underwater vehicle (AUV)-based localization scheme is proposed for underwater acoustic sensor networks. The AUV has used four directional acoustic beams with fixed steering angle and width, which led to the constant ratio of array size to wavelength, in order to localize the sensor nodes. The AUV was moved on a random waypoint path and broadcasted messages periodically. The sensor nodes used two successively received message sequences which were submitted by two beams on one side of the AUV path in order to localize themselves. Extensive simulation results in MATLAB demonstrated that using the proposed localization scheme could yield better localization success than other AUV-based localization methods.

Inherent vulnerability of wireless backhauling to random fluctuations of the wireless channel complicates the design of reliable backhaul networks. In the presence of such disturbances, network reliability can be improved by providing redundant paths between given source and destination. Many studies deal with modifying and designing the network topology to meet the reliability requirements in a cost-efficient manner. However, these studies ignore the correlation among link failures, such as those caused by rain. Consequently, the resulting topology design solutions may fail to satisfy the network reliability requirements under correlated failure scenarios.To address this issue, this paper studies the design of reliable wireless backhaul networks under correlated failures with focus on rain fading. We consider green-field topology design and brown-field topology upgrade scenarios with the objective to minimize the total cost of wireless links added to meet the target reliability requirement in the presence of correlated link failures. We propose a new model to formulate the spatial correlation using pairwise joint probability distribution of rain attenuation between different links. This model is applied to consider the linkwise correlation along individual paths, as well as the correlation among the multiple redundant paths from the source to the destination node of a traffic flow. We formulate the problem as a quadratic integer program, which is NP-hard, and develop a heuristic algorithm to find near-optimal solutions. Performance evaluation shows that correlation-aware design improves the resiliency under rain disturbance at a slightly increased cost.