Abstract
In this paper, the authors present the Cognitive LF-Ant protocol for emergency reporting in healthcare wireless sensor networks. The protocol is inspired by the natural behaviour of ants and a cognitive component provides the capabilities to dynamically allocate resources, in accordance with the emergency degree of each patient. The intra-cluster emergency reporting is inspired by the different capabilities of leg-manipulated ants. The inter-cluster reporting is aided by the cooperative modulation diversity with spectrum sensing, which can detect new emergency reporting requests and forward them. Simulations results show the decrease of average delay time as the probability of opportunistic access increases, which privileges the emergency reporting related to the patients with higher priority of resources' usage. Furthermore, the packet loss rate is decreased by the use of cooperative modulation diversity with spectrum sensing.
Highlights
Sensor devices can be embedded in a variety of medical instruments for use at hospitals, homes, and supply patients and their healthcare providers information about physiological and physical health statesSensors 2012, 12 that are critical to the detection, diagnosis, treatment, and management of ailments
Healthcare wireless sensor networks present several capabilities for efficient monitoring of patients and for performing emergency reporting. They are subjected to high concurrency for free-spectrum access, which decreases the quality of service and damages the emergency reporting to a medical central station
Cognitive radio sensor networks utilize the spectrum more efficiently and they can improve the performance of healthcare networks
Summary
Sensor devices can be embedded in a variety of medical instruments for use at hospitals, homes, and supply patients and their healthcare providers information about physiological and physical health states. Wireless sensor networks consist of low-power devices that integrate limited computation, sensing, and radio communication capabilities [3] This technology may present impact on many aspects of emergency medical care [4].
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