Energy efficient and fault tolerant distributed algorithm for data aggregation in wireless sensor networks

Fissaoui, Mohamed El; Beni‐Hssane, Abderrahim; Saadi, Mostafa

doi:10.1007/s12652-018-0704-8

Cited by 41 publications

(20 citation statements)

References 36 publications

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“…For example, for constructing a data aggregation tree to transmit useful data of the wireless sensor nodes to the sink, Liao et al 76 applied the learner MAs and ant colony algorithm. In addition, El Fissaoui et al 77 present an energy-efficient distributed algorithm to collect data in the WSNs, which apply a clustering algorithm over the source nodes, then route an MA among the clusters. This approach offers alternative route for the MA in the case of node failure.…”

Section: Simulated Approachesmentioning

confidence: 99%

A review on the applications of multiagent systems in wireless sensor networks

Derakhshan

Yousefi

2019

International Journal of Distributed Sensor Networks

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Nowadays, the efficiency of multiagent systems in wireless sensor networks prompts the researchers to use these emerging mobile software packets in different simulated approaches or real-world applications. Heterogeneous and distributed wireless sensor networks could be integrated with the multiagent systems to map the real-world challenges into the artificial intelligence world. The multiagent systems have been applied from simulated approaches like object detection/ tracking, healthcare, control/assistant, and security systems to real-world applications, including medical/human-care systems and unmanned aerial vehicles. Furthermore, the integration of wireless sensor networks with multiagent systems have emerged novel application, which is known as mobile robots. However, the extensive use of mobile agents in wireless sensor networks has posed different challenges for researchers, including security, resource, and timing limitation. In this work, we review recent simulated approaches and real-world applications of multiagent systems in wireless sensor networks, in which a set of common factors about the things that have been studied are extracted and compared to analyze the performance of mobile agent-based systems in the wireless sensor networks, as well. This analysis provides new research directions about multiagent systems in wireless sensor networks for interested researchers. Finally, a novel framework for dealing with the challenges of multiagent-based applications in the wireless sensor networks which have been mentioned is suggested.

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Section: Simulated Approachesmentioning

confidence: 99%

A review on the applications of multiagent systems in wireless sensor networks

Derakhshan

Yousefi

2019

International Journal of Distributed Sensor Networks

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“…In this section, a comparison of the performance of the EEUCR with existing protocols for scenario1 is described. Results of PDR of EEUCR are compared with EFTA [7] and alternative EFTA [7]. Results are shown in Fig.5 and Table-II.…”

Section: A Pdr Of Eeucr For Scenario1and Scenario2mentioning

confidence: 99%

“…Nodes deployed in ring0 and ring1 are supernodes having energy two times greater than the nodes deployed in rings 2, 3 and 4. Fissaoui et al [7] is an energy-efficient and faulttolerant distributed algorithm for data aggregation in wireless sensor networks (EFTA) to plan the itinerary for a mobile agent and another alternative itinerary in case of node(s) failure. This algorithm adopts a clustering method to group sensor nodes in clusters then plans the itinerary among those clusters efficiently.…”

Section: Introductionmentioning

confidence: 99%

Enhancing Packet Delivery Ratio and a lifetime of Wireless Sensor Networks using Energy-Efficient Unequal Clustering Routing Algorithm

handa*¹,

Panag²,

Sohi³

2019

IJITEE

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Sensors are regarded as significant components of electronic devices. The sensor nodes deployed with limited resources, such as the power of battery inserted in the sensor nodes. So the lifetime of wireless sensor networks(WSNs) can be increased by using the energy of the sensor nodes in an efficient way. A major part of energy is consumed during the communication of data. Also, the growing demand for usage of wireless sensors applications in different aspects makes the quality-of-service(QoS) to be one of the paramount issues in wireless sensors applications. QoS guarantee in WSNs is difficult and more challenging due to the fact that the sensors have limited resources and the various applications running over these networks have different constraints in their nature and requirements. The packet delivery ratio(PDR) is a major factor of QoS. To achieve high QoS the packet delivery ratio should be maximum. The energy-efficient unequal clustering routing protocol (EEUCR) is evaluated and results show that it enhances the packet delivery ratio(PDR) and a lifetime of WSNs. In this protocol, the area of the network is divided into a number of rings of unequal size and each ring is further divided into a number of clusters. Rings nearer to the base station(BS) have smaller area and area of rings keeps on increasing as the distance from BS increases for balanced energy consumption. The nodes with heterogeneous energy are deployed in the network. Nodes nearer to the base station have higher energy as compared to farther nodes. Static clustering is used but cluster heads(CHs) are not fixed and are elected on the basis of remaining energy. This helps to increase lifetime of EEUCR. PDR of EEUCR is improved because multiple rings help to find better route which further aids to ensure safe reception of packets at the destination. Simulation results are compared with existing protocols and show that this algorithm gives better results.

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“…Therefore, on the basis of data fusion, the privacy protection on sensitive data is a key step for the security of WSN. In order to protect the security of node data, some data privacy protection mechanisms have been proposed, such as ESPDA (Fissaoui et al, 2018) and SRDA (Gilbert et al, 2018). But these algorithms will limit the data types in the process of data fusion or will cause additional communication overhead and increase communication traffic.…”

Section: Introductionmentioning

confidence: 99%

Additive Aggregate Function-based Data Privacy Protection Algorithm

Chen

Lee

2019

IJAITG

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Data privacy protection is a key problem in the research and application of the internet of things that in wireless sensor networks has broad application prospects, such as agriculture environmental monitoring, healthcare, etc. For the core part of the internet of things, wireless sensor network, it is a very challenging task to provide effective privacy protection in the process of data transmission. In this paper, a new type of data privacy protection strategy based on the additive aggregation function is proposed (hereafter referred to as DPPA). On the one hand, applying the superposition property of the node data, the paper introduces the class aggregation protocol. On the other hand, taking advantage of the algebraic properties of the polynomials and the correlation properties of the superposed data, it can reduce the data of the header files of the data packages, and reduce the data size, while improving the privacy preservation. Simulation results show that DPPA can effectively protect data privacy, and get accurate data fusion results, while reducing the amount of data traffic.

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Energy efficient and fault tolerant distributed algorithm for data aggregation in wireless sensor networks

Cited by 41 publications

References 36 publications

A review on the applications of multiagent systems in wireless sensor networks

A review on the applications of multiagent systems in wireless sensor networks

Enhancing Packet Delivery Ratio and a lifetime of Wireless Sensor Networks using Energy-Efficient Unequal Clustering Routing Algorithm

Additive Aggregate Function-based Data Privacy Protection Algorithm

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