DACC: Dynamic Agile Congestion Control Scheme for Effective Multiple Traffic Wireless Sensor Networks

被引:0
作者
Jude, M. Joseph Auxilius [1 ]
Diniesh, V. C. [1 ]
机构
[1] Kongu Engn Coll, Dept Elect & Commun Engn, Erode 638052, Tamil Nadu, India
来源
2017 2ND IEEE INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS, SIGNAL PROCESSING AND NETWORKING (WISPNET) | 2017年
关键词
Wireless Sensor Networks (WSN); Congestion Control; Resource Control; Duty Cycle;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Recent years have witnessed a stunning rise in the deployment of wireless sensor motes for diverse applications due to its flexibility in sensing real-time monitoring for large scale remote applications. The many-to-one data transmission introduces network congestion/buffer overflow at the sensor gateways that cripples the overall WSN's performance in real time monitoring. In this paper, a new duty cycle based congestion aware algorithm known as Dynamic Agile Congestion Control (DACC) designed to overcome the limitations of FIFO based sensor motes at the gateways. The DACC uses two sub-algorithms one at the gateway that intelligently senses congestion during its initial stage and another at the sensor node that dynamically alters the duty cycle based on packet marking field. The DACC algorithm tested and verified under real-time wireless sensor test bed, results show that the DACC improves the stability, alerts sensor nodes, classify both preemptive and non-preemptive data and reduces congestion control front nodes to the sink node in wireless sensor network.
引用
收藏
页码:1329 / 1333
页数:5
相关论文
共 13 条
[1]   Duty cycle learning algorithm (DCLA) for IEEE 802.15.4 beacon-enabled wireless sensor networks [J].
Alberola, Rodolfo de Paz ;
Pesch, Dirk .
AD HOC NETWORKS, 2012, 10 (04) :664-679
[2]  
[Anonymous], 2006, P802154AD5 IEEE
[3]   Home networking with IEEE 802.15.4: A developing standard for low-rate wireless personal area networks [J].
Callaway, E ;
Gorday, P ;
Hester, L ;
Gutierrez, JA ;
Naeve, M ;
Heile, B ;
Bahl, V .
IEEE COMMUNICATIONS MAGAZINE, 2002, 40 (08) :70-77
[4]   Back pressure congestion control for CoAP/6LoWPAN networks [J].
Castellani, Angelo P. ;
Rossi, Michele ;
Zorzi, Michele .
AD HOC NETWORKS, 2014, 18 :71-84
[5]   A novel congestion control protocol with AQM support for IP-based networks [J].
Farzaneh, Nazbanoo ;
Monsefi, Reza ;
Yaghmaee, Mohammad Hossein ;
Mohajerzadeh, Amir Hossein .
TELECOMMUNICATION SYSTEMS, 2013, 52 (01) :229-244
[6]   Energy-Efficient Routing Protocol for Wireless Sensor Networks with Static Clustering and Dynamic Structure [J].
Ferng, Huei-Wen ;
Tendean, Robby ;
Kurniawan, Arief .
WIRELESS PERSONAL COMMUNICATIONS, 2012, 65 (02) :347-367
[7]   Congestion control mechanisms in wireless sensor networks: A survey [J].
Ghaffari, Ali .
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2015, 52 :101-115
[8]   Adaptive Duty-cycle Based Congestion Control for Home Automation Networks [J].
Lee, Dongho ;
Chung, Kwangsue .
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2010, 56 (01) :42-47
[9]   A Subsample-Based Low-Power Image Compressor for Capsule Gastrointestinal Endoscopy [J].
Lin, Meng-Chun ;
Dung, Lan-Rong .
EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2011,
[10]  
Ramakrishnan K., 2001, The Addition of Explicit Congestion Notification (ECN) to IP