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In addition, RFID-based authentication is suffering from heavy computation burden since an RFID-tag has very limited computation capability.
However, when the nodes are equipped with limited computation capability, limited capability of communication, actuation, and limited onboard energy source, it is not economic to communicate information continuously.
It is unrealistic for some devices with limited computation capability (e.g. mobile devices and IC cards) to conduct such a time-consuming computation.
To answer this question, it is important to point out that due to the nano nature and limited computation capability of nanomachines, a number of them need to work in a cooperative manner to execute a task.
Considering the limited computation capability of nanomachines and the expensive information exchange cost among them, in this paper, we propose a game-theoretic framework for distributed resource allocation in nanoscale molecular communication systems.
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In order to perform effectively in the scenarios with limited computation capabilities, possibility theory prefers to adopt.
Furthermore, considering the limited energy and computation capability of sensor nodes, the very low complexity of the CRT allows it to be more suitable to achieve reliability in WSNs in comparison to other techniques (e.g., FEC techniques based on RS and LT codes) commonly used for other types of wireless networks.
As a significant branch of detection-based techniques, the research of anomaly detection in wired networks and wireless ad hoc networks is already quite mature, but such solutions can be rarely applied to WSNs without any change, because WSNs are characterized by constrained resources, such as limited energy, weak computation capability, poor memory, short communication range, etc.
However, with limited resources such as computation capability and memory, they are vulnerable to many kinds of attacks.
Sensor nodes are ordinary devices with limited computation, communication, and storage capabilities.
The hardware infrastructure of the network is composed by motes, with limited memory and computation capabilities.
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