Immunizations on small worlds of tree-based wireless sensor networks

In this paper, a standard susceptible-infected-recovered-susceptible(SIRS) epidemic model based on the Watts-Strogatz (WS) small-world network model and the Barabsi-Albert (BA) scale-free network model is established, and a new immunization scheme -"the most common friend first immunization" is proposed, in which the most common friend's node is described as being the first immune on the second layer protection of complex networks. The propagation situations of three different immunization schemes -random immunization, high-risk immunization, and the most common friend first immunization are studied. At the same time, the dynamic behaviors are also studied on the WS small-world and the BA scale-free network. Moreover, the analytic and simulated results indicate that the immune effect of the most common friend first immunization is better than random immunization, but slightly worse than high-risk immunization. However, high-risk immunization still has some limitations. For example, it is difficult to accurately define who a direct neighbor in the life is. Compared with the traditional immunization strategies having some shortcomings, the most common friend first immunization is effective, and it is nicely consistent with the actual situation.

Section: Introductionmentioning

confidence: 99%

The most common friend first immunization

Nian¹,

Hu²

2016

“…[1][2][3] Distributed parameter systems (DPS) represent some physical systems. [4,5] The means to reliably and efficiently use sensors and actuators in the processes modeled by DPS have been extensively discussed in Refs. [6]- [11] Actuator and controller switching has been widely studied for the performance improvement of control systems.…”

Section: Introductionmentioning

confidence: 99%

Optimal switching policy for performance enhancement of distributed parameter systems based on event-driven control

Mu¹,

Cui²,

Lou³

et al. 2014

This paper aims to improve the performance of a class of distributed parameter systems for the optimal switching of actuators and controllers based on event-driven control. It is assumed that in the available multiple actuators, only one actuator can receive the control signal and be activated over an unfixed time interval, and the other actuators keep dormant. After incorporating a state observer into the event generator, the event-driven control loop and the minimum inter-event time are ultimately bounded. Based on the event-driven state feedback control, the time intervals of unfixed length can be obtained. The optimal switching policy is based on finite horizon linear quadratic optimal control at the beginning of each time subinterval. A simulation example demonstrate the effectiveness of the proposed policy.

“…These unattended nodes in WSNs are prone to failure due to battery energy depletion and poor environment. [3][4][5] The failure nodes may lead to network partition, thus causing the coverage and the availability of the network to be decreased and even cause network failure. [6][7][8] Therefore, it is significant to build such a network topology that can effectively tolerate energy depletion and random failure.…”

Section: Introductionmentioning

confidence: 99%

Fault-tolerant topology in the wireless sensor networks for energy depletion and random failure

Liu¹,

Dong²,

Yin³

et al. 2014

Nodes in the wireless sensor networks (WSNs) are prone to failure due to energy depletion and poor environment, which could have a negative impact on the normal operation of the network. In order to solve this problem, in this paper, we build a fault-tolerant topology which can effectively tolerate energy depletion and random failure. Firstly, a comprehensive failure model about energy depletion and random failure is established. Then an improved evolution model is presented to generate a fault-tolerant topology, and the degree distribution of the topology can be adjusted. Finally, the relation between the degree distribution and the topological fault tolerance is analyzed, and the optimal value of evolution model parameter is obtained. Then the target fault-tolerant topology which can effectively tolerate energy depletion and random failure is obtained. The performances of the new fault tolerant topology are verified by simulation experiments. The results show that the new fault tolerant topology effectively prolongs the network lifetime and has strong fault tolerance.