Paper Info
Title
Beaconing Control strategy based on Game Theory in mobile crowdsensing.
Abstract
Mobile crowdsensing is a new paradigm in which a group of mobile users exploit their smart devices to cooperatively perform a large-scale sensing job over urban environments. According to the different price plans, all the users could be segmented into following two groups: Pay as you go (PAYG) and Pay monthly (PAYM). Taking the uploading cost into consideration, a PAYG user prefers to upload the sensing data through a PAYM user, rather than uploading it by itself. In order to utilize the limited energy to deliver the sensing data to the PAYM users, each user should decide a suitable switch between high beaconing frequency and low beaconing frequency. In this paper, we propose a Beaconing Control strategy based on the Game Theory in mobile crowdsensing (BCGT), where each user decides the beaconing frequency according to its payoffs between sensing data delivery ratio and energy consumption. Then, each user’s life cycle is divided into three phases: high beaconing phase, game theory phase, and low beaconing phase, in order to efficiently utilize the limited energy. We conduct extensive simulations based on random-waypoint mobility pattern and two widely-used real-world traces: roma/taxi and epfl. The results show that compared with other beaconing control strategies, BCGT achieves a higher delivery ratio with an identical initial energy.
Year
DOI
Venue
2018
10.1016/j.future.2018.04.013
Future Generation Computer Systems
Keywords
Field
DocType
Mobile crowdsensing,Beaconing Control,Game Theory,Delivery ratio,Energy consumption
Crowdsensing,Computer science,Sensing data,Upload,Exploit,Game theory,Energy consumption,Distributed computing
Journal
Volume
ISSN
Citations 
86
0167-739X
0
PageRank 
References 
Authors
0.34
19
4
Name
Order
Citations
PageRank
Yongjian Yang13914.05
Wenbin Liu23111.66
En Wang3218.13
Hengzhi Wang402.37