Design of fault tolerant wireless sensor networks satisfying survivability and lifetime requirements

Bari, Ataul; Jaekel, Arunita; Jiang, Jin; Xu, Yufei

doi:10.1016/j.comcom.2011.10.006

Cited by 62 publications

(30 citation statements)

References 22 publications

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“…Assume that the network communication is a cosmic model, and energy model is in Bari et al [36]. 1 = 2 = 50 nJ/bit, = 100 pJ/bit/m 2 , = 2, and initial energy of every RN is 5 J.…”

Section: Simulation Experiments and Resultsmentioning

confidence: 99%

“…Bari et al [36] presented the formal description of ILP, and this work had improved the network fault tolerance by RN placement. This work also enhances the network lifetime by routing load balance.…”

Section: Related Work On Relay Node Placementmentioning

confidence: 99%

“…Grid-81 Grid-100 Relay nodes location scheme ILP with fault-tolerance (the second bar from the left in each group, indicated by "ILP-RED" [36]), (iii) ILP based approach with fault-tolerance and some energy constraints (the third bar in each group, indicated by "ILP-Bari" [36]), and (iv) an approach with some real-time constraints based on (iii) (the right-most bar, indicated by "ILP-ZH"). Figure 14 compares As shown in Figure 14, ILP-ALL requires the least number of relay nodes for all networks.…”

Section: Grid-64mentioning

confidence: 99%

“…Michael and Pinciu [42] concluded the techniques of sensor node coverage based on the artist gallery problem and the voronoi graphic, and this work proposed an placement strategy which could ensure network coverage of several positions; this result guaranteed network fault tolerance, and this work reduced overall network energy consumption. Reference [36][37][38][39][40][41][42] considered network fault tolerance, routing load balance, communication capacity, and network coverage; these integrated research methods were more practical. Such fault tolerant and energy consumption research methods were also applicable to IWN research; however, there was no placement research of real time performance on IWN.…”

Section: Related Work On Relay Node Placementmentioning

confidence: 99%

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Optimized Design of Relay Node Placement for Industrial Wireless Network

Zhang

et al. 2014

International Journal of Distributed Sensor Networks

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The industrial wireless network (IWN) is an important part of industrial CPS, which must address the key issue of reliable and real-time communication as well as the desired network lifetime. The nodes of IWN are usually fixed on the devices for better monitoring of the state information of the equipment and environment, while the relay node placement plays a significant role on network performance guarantee. This paper proposes an Integer Linear Program (ILP) placement strategy to meet the fault tolerance and survivability requirement. In addition, an edge coloring algorithm is proposed to solve the conflict of TDMA communication, which improves paralleled and real-time communication performance. Simulation results show that this placement strategy not only meets the requirements of robust communication and survivability, but also enhances real-time communication of IWN.

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“…Assume that the network communication is a cosmic model, and energy model is in Bari et al [36]. 1 = 2 = 50 nJ/bit, = 100 pJ/bit/m 2 , = 2, and initial energy of every RN is 5 J.…”

Section: Simulation Experiments and Resultsmentioning

confidence: 99%

Section: Related Work On Relay Node Placementmentioning

confidence: 99%

Section: Grid-64mentioning

confidence: 99%

Section: Related Work On Relay Node Placementmentioning

confidence: 99%

See 2 more Smart Citations

Optimized Design of Relay Node Placement for Industrial Wireless Network

Zhang

et al. 2014

International Journal of Distributed Sensor Networks

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“…Industrial wireless sensor network (IWSN) is an emerging class of WSN that faces specific constraints linked to the particularities of the industrial processes. In this term, industrial wireless sensor network faces several challenges such as the reliability and robustness in harsh environments as well as the ability to properly execute and achieve the goal [4].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Node Fault Detection Based on Clustering in Industrial Wireless Sensor Networks

Zhang

Han

Feng

et al. 2015

International Journal of Distributed Sensor Networks

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Fault detection is a method of crucial importance to guarantee Quality of Service (QoS) in industrial wireless sensor network (IWSN). Timely and accurate detection for fault nodes can increase the robustness of IWSN. Therefore, in order to reduce the network detection load and improve the system scalability, a cluster-based fault detection (CFD) algorithm is proposed. In this algorithm, the IWSN is clustered based on Low Energy Adaptive Clustering Hierarchy (LEACH) protocol at the beginning, and then the reliability of all cluster head nodes is verified. In each cluster, the cluster head is responsible for fault detection in it. In addition, the introduction of node credibility mechanism enables CFD algorithm to tolerate transient faults. Simulation results demonstrate that CFD algorithm has better performances in terms of network energy consumption and detection accuracy.

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Optimization for connectivity and coverage issue in target‐based wireless sensor networks using an effective multiobjective hybrid tunicate and salp swarm optimizer

Chelliah¹,

Kader²

2020

Int J Communication

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Summary The two main important issues in designing target‐based wireless sensor networks (WSNs) are coverage and connectivity maximization. In order to tackle the coverage and connectivity problems, we have proposed a hybrid optimization‐based model. Thereby, the target‐based WSNs can include the sensor nodes which are placed based on determining minimum number of selected potential positions. To do that, an optimization approach based on a hybrid tunicate swarm optimizer (TSO) and salp swarm optimizer (SSO) is proposed for coverage and connectivity problems in WSNs. Feature exploitation ability of SSO is improved by TSO operators, because these operators can act as local search operators. Basically, these hybrid algorithm operators are used to derive the fitness function followed with the solution representation step. Initially, the population is generated, and the hybrid tunicate swarm optimizer and salp swarm optimizer (HTSS) algorithm has updated the solutions in the next subsequent step. Ultimately, the nondominated solutions are determined in the final step. The two different scenarios of WSN are used for simulation of this scheme. Simulations have shown its outstanding performance in solving the coverage and connectivity problems in wireless networks.

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Design of fault tolerant wireless sensor networks satisfying survivability and lifetime requirements

Cited by 62 publications

References 22 publications

Optimized Design of Relay Node Placement for Industrial Wireless Network

Optimized Design of Relay Node Placement for Industrial Wireless Network

A Novel Method for Node Fault Detection Based on Clustering in Industrial Wireless Sensor Networks

Optimization for connectivity and coverage issue in target‐based wireless sensor networks using an effective multiobjective hybrid tunicate and salp swarm optimizer

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