FCC: Fast congestion control scheme for wireless sensor networks using hybrid optimal routing algorithm

• Published in: Cluster computing Vol. 22; no. Suppl 5; pp. 12701 - 12711
• Main Authors: Raman, C. J., James, Visumathi
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.09.2019; Springer Nature B.V
• Subjects: Algorithms; Computer Communication Networks; Computer Science; Data loss; Data transmission; Energy consumption; Operating Systems; Optimization; Processor Architectures; Queueing; Search algorithms; Sensors; Support vector machines; Wireless sensor networks; Queuing delay; Wireless sensor networks; Energy consumption; Network lifetime; Flow rate; Hybrid optimization; Packet loss; Multi-input time-on-task optimization; Altered gravitational search; Fast congestion control; Congestion
• ISSN: 1386-7857; 1573-7543
• DOI: 10.1007/s10586-018-1744-8

Wireless sensor networks experience congestion when high-density sensor nodes move with an increased flow rate generating heavy traffic. As a result, performance of the network is severely affected leading to packet loss, reduction of network lifetime and an increase in energy consumption. Many works have focusedto reduce these problems without considering mobility. To overcome this,a fast Congestion control (FCC) technique is introduced based on routingwith ahybrid optimization algorithm. The proposed scheme consists of two processing steps.First, we propose a multi-input time on task optimization algorithm for selecting proper next hop with minimal unwanted queuing delay. Then, we propose an altered gravitational search algorithm formaking energy efficient route between source to destination. The proposed FCC scheme resists the congestion by enhancing the routing in order to select the best next node during the data forwarding. The experimental resultshows that the proposed FCC scheme effectively reduces the data loss, energy consumption, and maximizes the average hop counts, network lifetime.