Advanced quality of services with security integration in wireless sensor networks

Abstract

International audienceIn this paper, we focus on the coexistence between security and quality of services (QoS) guarantee in wireless sensor networks. The idea is to integrate the security services: authentication, integrity, confidentiality, and non-repudiation with QoS guarantee. In literature, the major proposed solutions consider QoS and security separately. In addition, it has been shown that it is difficult to offer the end-users multiple levels of security while offering a high level of QoS, because security and QoS are opposite parameters. To tackle this main issue, we propose a new model based on proportional integral derivative controller in order to dynamically select the security level adapted to QoS requirements while considering the energy consumption. The stability parameters in terms of security level and QoS are taken into account by using the principle of proportional integral derivative which is based on the past parameters (history), the current system state (present), and the predictable system change (future). In order to evaluate the proposed model, we consider the case of routing protocol, and we introduce this model into the well-known ad-hoc on-demand distance vector (AODV) protocol called QwS-AODV protocol. Unlike the classical secure AODV, the QwS-AODV protocol aims at adding or removing security services dynamically according to the network performance. Moreover, the validation and the evaluation of the proposed solution are carried out by simulation. The performance evaluation is presented with different network parameters such as throughput, delay, energy consumption, and security services. In addition, the comparison with a classical secure AODV is carried out, and the results obtained with the simulation illustrate that the security is always ensured with lower costs in terms of QoS and energy consumption

An Energy-Efficient Secure Forwarding Scheme for QoS Guarantee in Wireless Sensor Networks

“…Packet delivery ratio is the ratio of packets received by the BS within deadline over total packets sent by sensor nodes. It is worth noting that it is impossible to compare our scheme with other existing schemes [23][24][25][26] that consider both QoS and security since they focus on different metrics from ours as introduced in Section 2. We perform simulations with MATLAB where one BS, located at the center, and 400 sensor nodes are deployed randomly in a field of 200 m × 200 m. The event occurs every second and the event location is uniformly random.…”

“…Even though SOQR achieves a balance between QoS and security, but it does not take energy efficiency into account. Rachedi et al [24] proposed a new integration scheme of QoS and security based on the PID controller. Given QoS requirements, they try to maximize security by considering resource availability and residual energy.…”

“…Only very few works have focused on both security and QoS [23][24][25][26]. Xu et al [23] tried to optimize security and QoS at the same time using both connection outage probability and secrecy outage probability, but it does not take energy efficiency into account.…”

“…Xu et al [23] tried to optimize security and QoS at the same time using both connection outage probability and secrecy outage probability, but it does not take energy efficiency into account. Rachedi et al [24] focused on maximizing the security level without sacrificing QoS, thus it can be vulnerable to security attacks when congestion happens. Rathee et al [25] attempted to find a balance among security, QoS, and energy efficiency by employing a multi-objective function.…”

Trust Based Secure and Energy Efficient Routing Protocol for Wireless Sensor Networks

“…With the rapid development of Internet of Things, WSNs are more and more widely used in military, environmental monitoring, medical and industrial production, traffic control and other fields [1][2][3]. WSNs are composed of numerous sensor nodes, which collect data from the environment and send it to the Sink hop by hop [4][5][6]. Due to the characteristics of nodes, such as small size, limited memory, computing power and energy, the low energy consumption and low cost of nodes are the main aspects considered in the research and application [7][8][9].…”