Abstract
The Internet of Things (IoT) is a critical part of current information technology. When designing IoT data routes, device limited resources such as the computation speed, available amount of memory, remaining battery power or channel bandwidth, to name a few, must be considered. Since the Ant Colony System (ACS) is successfully applied to solving different routing problems, the implementation of ACS for routing in the IoT has also been considered. A P system inspired by the nature of membrane processes not only simplifies a complex system behavior annotation but also delivers a good balance between performance, flexibility and scalability. For this reason, the P system framework for ACS in IoT data routing has been investigated. From the research conducted, MMAPS, which is a combination of the P system and the Max-Min Ant System, is seen to perform better than the ACS.
Highlights
The Internet of Things (IoT) is a critical part of current information technology [1]
If the sensor nodes are dispersed on edge and find essential to interact with the other nodes outside, such nodes are supposed to have reasonable routes for the interaction
EXPERIMENTAL RESULTS For the experiment, a virtual 6 node IoT has been simulated with software package MATLAB
Summary
The Internet of Things (IoT) is a critical part of current information technology [1]. It has been indicated that the connection has to be safe [3] and always present: anytime, anywhere and among any devices. If the sensor nodes are dispersed on edge and find essential to interact with the other nodes outside, such nodes are supposed to have reasonable routes for the interaction. Limited resources such as the computation speed, available amount of memory, remaining battery power or channel bandwidth, to name a few, of the device when designing the data routes must be considered. This paper is tailored to discuss the implementation of original routing in the IoT by using a membrane-inspired P system framework
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