Distributed cooperative communication nodes control and optimization reliability for resource-constrained WSNs

• Published in: Neurocomputing (Amsterdam) Vol. 270; pp. 122 - 136
• Main Authors: Liu, Xiao, Liu, Anfeng, Li, Zhetao, Tian, Shujuan, Choi, Young-june, Sekiya, Hiroo, Li, Jie
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 27.12.2017
• Subjects: Distributed control and optimization; Network lifetime; Reliability; Resource-constrained network; Distributed control and optimization; Resource-constrained network; Network lifetime; Reliability
• ISSN: 0925-2312; 1872-8286
• DOI: 10.1016/j.neucom.2016.12.105

The utilization of distributed control and optimization is still a challenge issue to achieve reliable communication for resource-constrained networked systems. In this paper, a distributed cooperative communication nodes control (DCCNC) approach is proposed to achieve higher reliability communication and longer network lifetime for resource-constrained wireless sensor network (WSNs). A DCCNC scheme adopts feedback control approach to determine the appropriate number of node which participates in cooperative communication according to the application reliability requirements. A residue energy notification mechanism is used to notice the minimum residual energy of nodes in a network, then the number of cooperative communication nodes is adjusted according to the difference between the residual energy of nodes and the minimum residual energy of network. In a DCCNC scheme, larger number of participate cooperative communication nodes are adopted in non-hotspots area to achieve high reliability, while less number of participate cooperative communication nodes are adopted in hotspots area to achieve high network lifetime. The theoretical analysis and experimental results show that comparing with previous communications schemes, DCCNC scheme can reduce end to end Data Fail delivering Ratio (DFR) by 57.16–93.29% while retaining network lifetime, and DCCNC approach can also improves lifetime by 3.89–18.75% while retaining weighted end to end (DFR).