Title :
BlindDate: A Neighbor Discovery Protocol
Author :
Keyu Wang ; Xufei Mao ; Yunhao Liu
Author_Institution :
Dept. of Comput. Sci. & Eng., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
Abstract :
Many wireless applications urgently demand an efficient neighbor discovery protocol to build up a bridge connecting users to service providers or to other users. However, due to intrinsic constraints of wireless devices, e.g., limited energy and error of clock synchronization, there is still absence of effective and efficient neighbor discovery protocols in the literature. In this work, we propose neighbor discovery protocols for the following two problems. We first study Asynchronous Symmetry Neighbor Discovery problem, in which potential neighbor devices with asynchronous time clock but the same duty cycle aim to find each other. We further propose an efficient protocol (using Bouncing strategy) named Blind Date with guaranteed worst-case performance 9/10(1 + δ)2x2 where δ is a small fraction of the length of time slot unit and 1/x is the duty cycle. Next, we extend this design to address Asynchronous Asymmetry Neighbor Discovery problem, in which both time clock and the duty cycles of potential neighbors are considered to be heterogeneous. We conduct extensive simulations to examine the feasibility and efficiency of the proposed protocols. Results show that Blind Date protocol outperforms existing approaches in average-case. We conclude that, compared with known protocols, Blind Date achieves a better worst-case discovery latency bound (e.g., 10% performance gain comparing with Searchlight [1]).
Keywords :
protocols; BlindDate; asynchronous symmetry neighbor discovery problem; asynchronous time clock; bouncing strategy; clock synchronization; duty cycle; neighbor discovery protocols; performance gain; searchlight; wireless devices; worst-case discovery latency bound; Mobile handsets; Performance evaluation; Probes; Protocols; Schedules; Synchronization; Wireless communication; energy efficiency; latency; neighbor discovery;
Conference_Titel :
Parallel Processing (ICPP), 2013 42nd International Conference on
Conference_Location :
Lyon
DOI :
10.1109/ICPP.2013.21