Title: A novel route discovery procedure for congestion avoidance in multi-hop WSNs
Authors: Omer Chughtai; Nasreen Badruddin; Azlan Awang; Maaz Rehan
Addresses: Centre of Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Tronoh, Perak, Malaysia; Department of Electrical Engineering, COMSATS Institute of Information Technology (CIIT) Wah Cantonment, GT Road, Quaid Avenue, 47040, Pakistan ' Centre of Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Tronoh, Perak, Malaysia ' Centre of Intelligent Signal and Imaging Research (CISIR), Department of Electrical and Electronic Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 32610, Tronoh, Perak, Malaysia ' Department of Computer Science, CIIT Wah Cantonment, GT Road, Quaid Avenue, 47040, Pakistan
Abstract: Due to high data traffic and resource-constrained nature of the wireless sensor network (WSN), congestion occurs which leads to severe packet loss and high energy consumption. Since an efficient route discovery procedure can avoid congestion and balance the traffic load, a reliable congestion-aware routing is important and requires careful design consideration. In this paper, a novel route discovery procedure for congestion avoidance (RDCA) in multi-hop WSNs has been proposed. RDCA is based on an objective function that incorporates the implicit behaviour of traffic load and consumed energy of the sensor nodes and signal strength between them along with the hop count. The results show that RDCA has a significant impact over energy, traffic load, and link quality aware ad hoc routing (ETLAODV) and energy efficient and QoS based routing (EQSR) in terms of packet delivery ratio (PDR), end-to-end (ETE) delay, energy consumption, and throughput.
Keywords: congestion-aware routing; traffic load balancing; congestion avoidance; route discovery; WSNs; wireless sensor networks.
DOI: 10.1504/IJSNET.2017.087897
International Journal of Sensor Networks, 2017 Vol.25 No.4, pp.229 - 243
Received: 01 Oct 2015
Accepted: 02 Jun 2016
Published online: 07 Nov 2017 *