Abstract

Congestion control in cluster wireless multimedia sensor networks is capable of delivering and gathering multimedia information, while propagation delay and external interference may cause it unable to achieve the maximal network throughput without congestion control. To solve the problem, based on the additive-increase multiplicative-decrease adjustment strategy, a robust congestion control model is proposed with a scheduling scheme in cluster wireless multimedia sensor networks considering the neighbor feedback. The robust congestion control model is a Lur’e-type system. The cluster wireless multimedia sensor network is capable of achieving the desired cluster synchronization with network parameters provided by Lyapunov–Krasovskii functionals. Sufficient conditions of the robust congestion control are formulated by linear matrix inequalities. Numerical results show the effectiveness of the proposed scheme.

Highlights

  • A non-preemptive weighted fair scheduling scheme prearranged for maximizing the global CWMSN throughput is proposed to unify the network parameters of each node in a cluster with the proper sending rates at source-side and ideal global cluster synchronization in the initialization

  • The energy of the robust congestion control output z(t) is lower than that of the external interference w(t). It represents that the energy of the external interference is restrained under the robust congestion control in CWMSNs, which validates the effectiveness of the proposed scheme

  • The sufficient conditions have been formulated by Linear Matrix Inequalities (LMIs)

Read more

Summary

Introduction

Wireless multimedia sensor networks (WMSNs) consist of interconnected sensor nodes that are capable of continuously retrieving multimedia content such as video and audio streams, images, and sensor data.[1,2,3] Excessive amount of data transmission in CWMSNs may cause network congestion,[4,5] and many recent researches[1,2,3,6,7,8,9,10] concern this issue and come up with congestion control schemes to solve this problem,[11,12] where traditional source-side congestion control methods such as active queue management (AQM),[13,14] random early detection (RED),[15,16] and additive-increase multiplicative-decrease (AIMD)[17,18] are applied. Global cluster synchronization with the performance of robust congestion control using the RED algorithm at source-side is extended to realize global network restabilization. A non-preemptive weighted fair scheduling scheme prearranged for maximizing the global CWMSN throughput is proposed to unify the network parameters of each node in a cluster with the proper sending rates at source-side and ideal global cluster synchronization in the initialization.

Results
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call