Affiliations: Department of Computer Engineering and Information Technology, Shiraz University of Technology, Shiraz, Fars, Iran
Correspondence:
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Correspondence to: Reza Javidan, Department of Computer Engineering and Information Technology, Shiraz University of Technology, P.O. Box 71555-313, Shiraz, Iran. Tel.: +98 71 37354501; Ext. 2816; Fax: +98 71 37354510; E-mail: [email protected].
Abstract: Wireless Nano Sensor Network (WNSN) consists of nano-scale devices with potential sensing capabilities in advanced applications. The most notable characteristic of these networks is the use of very high operating frequencies (0.1-10 THz) for communication among nano-machines. In addition, the extreme limitations of nano-devices motivate the design of novel and simple protocols for overcoming the restrictions and improving the network performance. This paper introduces a fuzzy logic-based mobility management (FLMM) solution for mobile cluster-based WNSNs founded on TDMA MAC protocol. This method aids mobile nano sensor nodes to optimally handoff among static anchor nodes named nano-controllers, so that, the handoff decision is triggered based on a combination of three important local parameters “distance from nano-controller”, “residual energy of nano-controller” and “traffic load of nano-controller”. The proposed model is evaluated in comparison to a similar non-fuzzy distance-based mobility controller. To this end, several critical metrics such as energy consumption, packet loss ratio, successful handoff rate and average end-to-end delay have been studied using NS-3 simulator and the results of performance evaluation show that proposed fuzzy logic-based mobility controller provides more reliability, less delivery delay and lower energy consumption in a dynamic topology of limited WNSN.
This paper introduces a fuzzy logic-based mobility management solution for mobile cluster-based wireless nano-sensor networks founded on TDMA MAC protocol. This method aids mobile nano sensor nodes to optimally handoff among static anchor nodes named nanocontrollers, so that, the handoff decision is triggered based on a combination of three important local parameters “distance from nano-controller”, “residual energy of nano-controller” and “traffic load of nano-controller”.
Why is it important?
Several critical metrics such as energy consumption, packet loss ratio, successful handoff rate and average end-to-end delay have been studied using NS-3 simulator and the results of performance evaluation show that proposed fuzzy logic-based mobility controller provides more reliability, less delivery delay and lower energy consumption in a dynamic topology of limited WNSN
