Abstract
Transmission range plays an important role in the deployment of a practical underwater acoustic sensor network (UWSN), where sensor nodes equipping with only basic functions are deployed at random locations with no particular geometrical arrangements. The selection of the transmission range directly influences the energy efficiency and the network connectivity of such a random network. In this paper, we seek analytical modeling to investigate the tradeoff between the energy efficiency and the network connectivity through the selection of the transmission range. Our formulation offers a design guideline for energy-efficient packet transmission operation given a certain network connectivity requirement.
Highlights
Underwater acoustic sensor networks (UWSNs) consist of sensors that are deployed to perform collaborative monitoring tasks over a given region, such as oceanographic data collection, marine pollution monitoring, offshore exploration and disaster prevention and tactical surveillance [1,2,3].underwater acoustic sensor network (UWSN) that require to monitor a large geographical area are often configured to operate in a multi-hopSensors 2012, 12 transmission mode
We have investigated two relationships: one is between the transmission range and energy consumption, and the other is between the transmission range and the network connectivity
We developed an analytical framework which describes the relationship between the transmission range and the energy efficiency as well as the relationship between the transmission range and the connectivity in an UWSN scenario
Summary
Underwater acoustic sensor networks (UWSNs) consist of sensors that are deployed to perform collaborative monitoring tasks over a given region, such as oceanographic data collection, marine pollution monitoring, offshore exploration and disaster prevention and tactical surveillance [1,2,3]. As opposed to the study in [8], we consider a common setup of UWSNs where the sensor nodes equip with only basic functions and the minimum connectivity that requires distance information cannot be obtained In this case, the transmission range of sensor nodes is predetermined, and a tradeoff between energy efficiency and network connectivity arises. The major contribution of this paper lies in an analytical framework to model the relationships between the transmission range, the average energy consumption and the connectivity Such an analytical framework is important in the sense that it provides a means for network designer to appropriately design the deployment of an UWSN for joint energy-efficiency and network-connectivity considerations.
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