Abstract
This paper proposes a practical low-complexity MAC (medium access control) scheme for quality of service (QoS)-aware and cluster-based underwater acoustic sensor networks (UASN), in which the provision of differentiated QoS is required. In such a network, underwater sensors (U-sensor) in a cluster are divided into several classes, each of which has a different QoS requirement. The major problem considered in this paper is the maximization of the number of nodes that a cluster can accommodate while still providing the required QoS for each class in terms of the PDR (packet delivery ratio). In order to address the problem, we first estimate the packet delivery probability (PDP) and use it to formulate an optimization problem to determine the optimal value of the maximum packet retransmissions for each QoS class. The custom greedy and interior-point algorithms are used to find the optimal solutions, which are verified by extensive simulations. The simulation results show that, by solving the proposed optimization problem, the supportable number of underwater sensor nodes can be maximized while satisfying the QoS requirements for each class.
Highlights
As an emerging technique, underwater acoustic sensor networks (UASN) have a wide range of applications, such as oceanographic data collection, environment monitoring, undersea exploration, disaster prevention, assisted navigation and tactical surveillance [1,2,3,4,5]
UASN consists of different types of underwater sensor nodes, some of which generate more important data than others, i.e., the sensing data from some sensors may need to be delivered to the clusterhead with a higher packet delivery ratio (PDR)
In order to address the problem of maximizing the supportable number of nodes, we focus on the MAC layer, since it plays a key role for providing quality of service (QoS) and dominates the overall performance of the network [14]
Summary
Underwater acoustic sensor networks (UASN) have a wide range of applications, such as oceanographic data collection, environment monitoring, undersea exploration, disaster prevention, assisted navigation and tactical surveillance [1,2,3,4,5]. The network needs to provide the sensor nodes with differentiated QoS (quality of service) in terms of PDR based on the QoS class to which the sensor nodes belong In such a network, an important problem is to maximize the number of nodes that the network can accommodate while still providing the required QoS for each class. We design a practical low-complexity QoS-aware MAC scheme and an optimization formulation for maximizing the supportable number of sensors in UASNs. We first estimate the packet delivery probability (PDP) in the MAC layer. Based on the PDP estimation, an optimization problem is formulated for maximizing the supportable number of sensors in a specific QoS priority class. The simulation results show that our optimization formulation can maximize the supportable number of underwater sensor nodes, while satisfying the QoS requirement for each class.
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