In environmental monitoring systems, unnecessary transmissions can occur when an Internet of Things (IoT) device transmits its data without any consideration on neighbors' transmissions. In this paper, we propose a neighbor-aware energy-efficient monitoring system (NA-EEMS) for energy harvesting IoT devices. In NA-EEMS, to exploit spatial correlation among IoT devices, geographically proximate IoT devices transmit their sensed data in a distributed manner by means of a constraint stochastic game. We devise a best response dynamics-based algorithm to obtain a multipolicy constrained Nash equilibrium. Evaluation results demonstrate that NA-EEMS can improve the network lifetime while preserving the monitoring probability above a desired level.
Bibliographical noteFunding Information:
Manuscript received August 20, 2018; revised January 3, 2019; accepted March 12, 2019. Date of publication March 18, 2019; date of current version June 19, 2019. This work was supported in part by the National Research Foundation of Korea Grant funded by the Korean Government (MSIP) under Grant 2017R1E1A1A01073742 and in part by the Korea Government (MSIT, Development of Core Technologies for Programmable Switch in Multiservice Networks) under Grant 2017-0-00195. (Corresponding author: Sangheon Pack.) H. Ko is with the Department of Computer Convergence Software, Korea University, Sejong 30019, South Korea.
© 2014 IEEE.
- Constraint stochastic game
- Energy harvesting
- Environmental map (EM)
- Internet of Things (IoT)
- Spatial correlation
ASJC Scopus subject areas
- Signal Processing
- Information Systems
- Hardware and Architecture
- Computer Science Applications
- Computer Networks and Communications