Amal Tiab

Bio: Amal Tiab is an academic researcher from University of Béjaïa. The author has contributed to research in topics: Routing protocol & Zone Routing Protocol. The author has an hindex of 2, co-authored 2 publications receiving 14 citations.

Routing in Industrial Wireless Sensor Networks: A Survey

Abstract: Recently, industrial wireless sensor networks have attracted more attention, due to their large benefits in terms of faster installation, cost savings, and flexibility. Nevertheless, the acceptance of wireless sensor networks by the industrial community is not without its difficulties. In fact, several research efforts have been made in this field and a number of state-of-the-art reviews exist, presenting the current standards, the challenges, and the design principles. However, a comprehensive review on routing protocols appears to be missing. In this paper, we give a survey on routing protocols for industrial monitoring applications of the wireless sensor networks technology, and we present their limitations and weaknesses according to the industrial requirements.

A new QoS aware and energy efficient opportunistic routing protocol for wireless sensor networks

Abstract: Energy efficiency and Quality of Service (QoS) providing are known to be critical design concerns in routing protocols for Wireless Sensor Networks (WSNs). Recent studies, demonstrate that Opportunistic Routing (OR) can greatly improve the performance of WSNs by exploiting the broadcast nature of the wireless medium. In this paper, we propose a new QoS aware and Energy efficient Opportunistic Routing protocol (QEOR) to efficiently routing data under QoS and energy constraints for WSNs. QEOR uses a new multi-metric QoS based candidate selection method in order to accurately select and prioritise the candidate forwarders. The selection is focused on a QoS function that takes into consideration the reliabilty of buffers and links, while the prioritisation is established according to transmission delays. To achieve an obvious improvement on the energy consumption, QEOR uses an energy efficient coordination method and an implicit ACKnowledgement scheme for collision and redundancy avoidance. Simulation...

A Real-Time Big Data Gathering Algorithm Based on Indoor Wireless Sensor Networks for Risk Analysis of Industrial Operations

Abstract: The era of big data has begun and an enormous amount of real-time data is used for the risk analysis of various industrial applications. However, a technical challenge exists in gathering real-time big data in a complex indoor industrial environment. Indoor wireless sensor networks (WSNs) technology can overcome this limitation by collecting the big data generated from source nodes and transmitting them to the data center in real time. In this study, typical residence, office, and manufacturing environments were chosen. The signal transmission characteristics of an indoor WSN were obtained by analyzing the test data. According to these characteristics, a real-time big data gathering (RTBDG) algorithm based on an indoor WSN is proposed for the risk analysis of industrial operations. In this algorithm, sensor nodes can screen the data collected from the environment and equipment according to the requirements of risk analysis. Clustering data transmission structure is then established on the basis of the received signal strength indicator (RSSI) and residual energy information. Experimental results show that RTBDG not only uses the limited energy of network nodes efficiently, but also balances the energy consumption of all nodes. In the near future, the algorithm will be widely applied to risk analysis in different industrial operations.

An Enhanced Analytical Model and Performance Evaluation of the IEEE 802.15.4e TSCH CA

Abstract: The Time Slotted Channel Hopping (TSCH) mechanism is created in the IEEE 802.15.4e amendment, to meet the need of Industrial Wireless Sensor Networks. It combines time slotted access and channel hopping with deterministic behavior. The mechanism offers two types of links: dedicated links and shared links. In order to reduce the probability of repeated collisions in shared links, the mechanism implemented a retransmission backoff algorithm, named TSCH Collision Avoidance (TSCH CA). In this article, we develop a two dimensional Markov chain model for the IEEE 802.15.4e TSCH CA mechanism, we take into account the deterministic behavior of this mechanism. In order to evaluate its performances, we estimate the stationary distribution of this chain. Then, we derive theoretical expressions of: collision probability, data packet loss rate, reliability, energy consumption, throughput, delay and jitter. Then, we analyze the impact of the number of devices sharing the link for a fixed network size under different traffic conditions. Finally, the accuracy of our theoretical analysis is validated by Monte Carlo simulation. It is shown that the performances of the IEEE 802.15.4e TSCH parameters are strongly related to the number of devices sharing the link.

QoS adaptive and energy aware cross-layer opportunistic routing protocol in wireless sensor networks

Abstract: Wireless sensor network (WSN) can reduce human labour and monitoring difficulties in forest fire prevention and environment monitoring due to its low power consumption, small size, self-organising, flexible setting, and unattended operation. However, the limited WSN hardware resources and power capacity, the practical application requirements such as real-time monitoring and timely warning of emergencies, pose higher challenges to WSN on its lifespan, reliability, and real-time performance. This paper proposes a QoS adaptive and energy aware cross-layer opportunistic routing protocol (QE-COR). The protocol sets an adaptive QoS function Q i comprehensively considering multiple metrics, through which the best forwarding node can be selected, and the QoS of transmission can adaptively adjust according to the data's needs. The protocol can also select a standby node to start retransmission when forwarding errors occur. A RTS-QACK and an ASS-DATA-SACK response mechanisms are designed to improve the transmission efficiency and avoid message conflicts. The sleep mechanism of MAC layer related with node's working state enables dynamical switching between active and sleep modes, which improves the energy utilisation and the flexibility of the network. Compared with similar opportunistic routing protocols, QE-COR can improve energy utilisation and extend network lifetime, while ensuring transmission reliability and end-to-end delay performance.

A Hybrid Clustering Approach Based Q-Leach in TDMA to Optimize QOS-Parameters

Abstract: A wireless sensor networks comprised of massive micro-sensor devices which installed in geographical areas used for surveillance, monitoring and control the applications and remote sensing process. Several smart WSN (wireless sensor network) applications have been raised nowadays. The efficiency of the WSN advancement applications have some issues such as lifetime duration, energy consumption and reliable communication. The cluster based hierarchical routing protocols like LEACH used to improvise the transmission of data techniques. But randomized cluster head selection affects the lifetime of network and energy and other QoS parameters. Hence the enhancement of the routing protocol has highly needed to optimize the QoS parameters for obtaining efficiency. To improve the QoS parameters of energy efficiency, network lifetime, stability, throughput and other parameters the efficient routing protocol developed based on efficient clustering approach of cluster head (CH) selection in time division multiple access (TDMA) schedule. For WSN, to attain the efficiency the optimal QoS parameters the efficient hybrid clustering approach and TDMA schedule based new routing protocol Q-LEACH has been proposed. For homogeneous and heterogeneous network of WSN the fitness function has been calculated. Hence the optimal cluster head CH has been selected from the fitness function leads to minimal energy and balancing of load. As per TDMA frame redesign every cluster node has its turn for data transmission in allocated slot. Hence all nodes equally send’s the data as per allocated slot and hence same amount of energy also used. Hence energy efficiency leads to long network life time. The proposed work of efficient hybrid clustering approach has been analysed in terms of QoS parameters such as energy efficiency, network lifetime, throughput and other parameters. The results of the proposed study evaluated with other existing approaches and comparative analysis have been performed. By comparison it shows that the proposed method yields better network stability compared to existing protocols.