A self-organizing network coordination framework enabling collision-free and congestion-less wireless sensor networks. (1st September 2017)
- Record Type:
- Journal Article
- Title:
- A self-organizing network coordination framework enabling collision-free and congestion-less wireless sensor networks. (1st September 2017)
- Main Title:
- A self-organizing network coordination framework enabling collision-free and congestion-less wireless sensor networks
- Authors:
- Kamimura, Akiya
Tomita, Kohji - Abstract:
- Abstract: In recent years, wireless sensor networks (WSNs) have been widely used for controlling remote devices and also for gathering sensor data of distributed WSN devices. The WSNs support current Internet of Things (IoT) technologies in the background. However, it is becoming a salient issue that frequent packet delivery losses occur during data gathering on WSNs along with the increasing number of nodes. Two fundamental difficulties exist for MAC and upper layers on IEEE 802.15.4 standard: transmission collisions among two-hop away nodes, known as the "Hidden node problem, " and traffic congestion during data transfer that engenders buffer overflow at nodes. To resolve these difficulties, we propose a self-organizing network coordination framework for WSNs that realizes an adaptive time-division transmission by nodes and also traffic congestion handling in a decentralized manner. Specifically, the framework is based on a decentralized time division technique using a simplified pulse-coupled oscillator model. By coordinating the transmission timing adaptively, each node sends messages without collisions. "Hidden node problems" as well as "Exposed node problems" will be prevented, in principle, when using our method. Additionally, to reduce traffic congestion in a decentralized manner, time slots in the transmission cycle on each node are used efficiently by additional algorithms: an "empty time slots utilization algorithm" and a "takeover algorithm of neighboring nodes'Abstract: In recent years, wireless sensor networks (WSNs) have been widely used for controlling remote devices and also for gathering sensor data of distributed WSN devices. The WSNs support current Internet of Things (IoT) technologies in the background. However, it is becoming a salient issue that frequent packet delivery losses occur during data gathering on WSNs along with the increasing number of nodes. Two fundamental difficulties exist for MAC and upper layers on IEEE 802.15.4 standard: transmission collisions among two-hop away nodes, known as the "Hidden node problem, " and traffic congestion during data transfer that engenders buffer overflow at nodes. To resolve these difficulties, we propose a self-organizing network coordination framework for WSNs that realizes an adaptive time-division transmission by nodes and also traffic congestion handling in a decentralized manner. Specifically, the framework is based on a decentralized time division technique using a simplified pulse-coupled oscillator model. By coordinating the transmission timing adaptively, each node sends messages without collisions. "Hidden node problems" as well as "Exposed node problems" will be prevented, in principle, when using our method. Additionally, to reduce traffic congestion in a decentralized manner, time slots in the transmission cycle on each node are used efficiently by additional algorithms: an "empty time slots utilization algorithm" and a "takeover algorithm of neighboring nodes' transmission slots". These are introduced for efficient large data gathering applications. We simulated a 60-node data gathering application and evaluated its superiority to a conventional WSN method using CSMA/CA on IEEE 802.15.4 standard. We also conducted hardware experiments using nine developed WSN nodes and confirmed our framework's feasibility in real situations targeted at real-time landslide detection with distributed WSN nodes. Graphical abstract: Highlights: A novel self-organizing network coordination framework for WSN is proposed. Collision-free and congestion-less internodal communications are realized for WSN. Hidden node and exposed node problems are solved together by distributed algorithms. 60-node simulations and real hardware experiments prove the framework performances. … (more)
- Is Part Of:
- Journal of network and computer applications. Volume 93(2017)
- Journal:
- Journal of network and computer applications
- Issue:
- Volume 93(2017)
- Issue Display:
- Volume 93, Issue 2017 (2017)
- Year:
- 2017
- Volume:
- 93
- Issue:
- 2017
- Issue Sort Value:
- 2017-0093-2017-0000
- Page Start:
- 228
- Page End:
- 244
- Publication Date:
- 2017-09-01
- Subjects:
- Ad hoc networks -- Wireless sensor networks -- Pulse-Coupled Oscillator (PCO) -- Network theory (graphs) -- Distributed algorithms -- Nonlinear dynamical systems
Microcomputers -- Periodicals
Computer networks -- Periodicals
Application software -- Periodicals
Micro-ordinateurs -- Périodiques
Réseaux d'ordinateurs -- Périodiques
Logiciels d'application -- Périodiques
Application software
Computer networks
Microcomputers
Periodicals
004.05
004 - Journal URLs:
- http://www.sciencedirect.com/science/journal/10848045 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.jnca.2017.06.002 ↗
- Languages:
- English
- ISSNs:
- 1084-8045
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5021.410600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 2918.xml