Fuzzy-based dynamic packet priority determination and queue management method for wireless sensor network. (2018)

• Record Type: Journal Article
• Authors: Shelke, Maya Padmakar; Malhotra, Akshay; Mahalle, Parikshit
• Is Part Of: International journal of internet technology and secured transactions. Volume 8:Number 3(2018)
• Page Start: 433
• Page End: 452
• Publication Date: 2018
• Subjects: wireless sensor networks -- WSNs -- fuzzy logic -- packet priority -- packet scheduling -- first come first serve -- FCFS -- preemptive priority scheduling -- non-preemptive priority scheduling -- data waiting time -- end-to-end delay -- network lifetime; Internet -- Security measures -- Periodicals; Computer security -- Periodicals; Information systems management -- Security measures -- Periodicals; Computer networks -- Security measures -- Periodicals; Information technology -- Security measures -- Periodicals; 005.805
• Languages: English
• ISSNs: 1748-569X

Abstract

Wireless sensor networks are made up of large number of resource-constrained sensor nodes. Scheduling of different types of packets at sensor nodes is of crucial importance to reduce sensors' energy consumption, end-to-end data transmission delays and packet loss. Majority of the existing packet scheduling algorithms such as first come first serve (FCFS), preemptive priority scheduling and non-preemptive priority scheduling are not adaptive to changes in the data traffic. They also have more processing overhead and large communication delays. We propose fuzzy-based dynamic packet priority determination and queue management mechanism. In the proposed scheme, each node determines priority of packets dynamically and queues them accordingly. The proposed scheme increases fairness in scheduling and the energy efficiency by delivering the packets before their expiry. The results demonstrate that this enhanced approach outperforms FCFS and dynamic multilevel priority queue scheduling algorithms in terms of throughput, end-to-end delay and average residual energy.