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Cognitive LF-Ant: a novel protocol for healthcare wireless sensor networks.

Sousa M, Lopes W, Madeiro F, Alencar M - Sensors (Basel) (2012)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Institute for Advanced Studies in Communications (Iecom), Federal University of Campina Grande (UFCG), Campina Grande 58429-900, Brazil. marcelo.portela@ee.ufcg.edu.br

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.

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Probability distribution of a node to present a specific emergency degree.
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f2-sensors-12-10463: Probability distribution of a node to present a specific emergency degree.

Mentions: The probability of a node to present a specific emergency degree (PED) is distributed in accordance with three different sets. The first set is denoted Set A and contains 60 nodes randomly deployed over the network. The second and third sets are denoted Set B and Set C, and contain 30 and 10 nodes, respectively. The values of PED for the three sets are presented in Figure 2.


Cognitive LF-Ant: a novel protocol for healthcare wireless sensor networks.

Sousa M, Lopes W, Madeiro F, Alencar M - Sensors (Basel) (2012)

Probability distribution of a node to present a specific emergency degree.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472838&req=5

f2-sensors-12-10463: Probability distribution of a node to present a specific emergency degree.
Mentions: The probability of a node to present a specific emergency degree (PED) is distributed in accordance with three different sets. The first set is denoted Set A and contains 60 nodes randomly deployed over the network. The second and third sets are denoted Set B and Set C, and contain 30 and 10 nodes, respectively. The values of PED for the three sets are presented in Figure 2.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Institute for Advanced Studies in Communications (Iecom), Federal University of Campina Grande (UFCG), Campina Grande 58429-900, Brazil. marcelo.portela@ee.ufcg.edu.br

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.

Show MeSH