Intelligent On‐Demand Connectivity Restoration for Wireless Sensor Networks

Mahmood, Khalid; Khan, Muhammad Amir; Hassan, Mahmood ul; Shah, Ansar Munir; Ali, Shahzad; Saeed, Muhammad Kashif

doi:10.1155/2018/9702650

Cited by 18 publications

(12 citation statements)

References 17 publications

(30 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The discovery on the base of the round trip delay is ample and the scalability is definite on dissimilar WSN. Khalid Mahmood et al [11] have hosted an intellectual on-demand connectivity refurbishment method for wireless sensor networks to discourse the connectivity refurbishment difficulty, where nodules use their broadcast variety to make sure the connectivity and the standby of unsuccessful nodules with their jobless nodules. The planned method aids us to retain path of network topology and can reply to nodule letdowns efficiently.…”

Section: Related Workmentioning

confidence: 99%

Hierarchical Fault Detection and Recovery Framework For Self-Healing WSN

Anitha¹,

R²,

Nagaraju³

et al. 2021

Preprint

View full text Add to dashboard Cite

Wireless Sensor Network (WSN) contains several sensor nodules that are linked to each other wirelessly. Errors in WSN may perhaps be because of several causes which bring about hardware damage, power thwarts, incorrect sensor impression, faulty communication, sensor deficiencies, etc. This damages the network process. In this paper, we propose to develop a Hierarchical Fault Detection and Recovery Framework (HDFR) for Self-Healing WSN. This framework consists of three modules: Fault detection, fault confirmation and fault recovery. In fault detection module, Particle Swarm Optimization (PSO) algorithm is applied for estimating the discrete Round Trip Paths (RTPs). Along the established RTPs, round trip delay (RTD) time values are estimated. Then based on the RTD, the suspected nodes are identified. In fault confirmation module, the nodes are confirmed to be either in FAULTY or ACTIVE state. In fault recovery module, the primary controller (PC) will establish an alternate route via the secondary controllers (SC) by excluding the faulty nodes. Then, it will resend the stored packets to the sink via the newly established route. By experimental results, it is shown that the HDFR framework achieves better detection accuracy and packet delivery ratio.

show abstract

Section: Related Workmentioning

confidence: 99%

Hierarchical Fault Detection and Recovery Framework For Self-Healing WSN

Anitha¹,

R²,

Nagaraju³

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In [18], the authors have proposed a novel connectivity restoration technique, namely "Intelligent On-Demand Connectivity Restoration for Wireless Sensor Networks (IDCRWSN)". IDCRWSN efficiently utilizes the residual energy and partial transmission range of the sensor nodes in an integrated manner to restore the network connectivity.…”

Section: Literature Reviewmentioning

confidence: 99%

A Cluster-based Node Relocation Technique for Connectivity Restoration for Mobile Wireless Sensor Networks

Hassan

al-wady

Mahmood

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) are widely used in most applications of the Internet of Things (IoT) for efficiently sensing the harsh environments, collecting important data, and sending them to the base station for further analysis. Therefore, the research community worldwide is actively participating in addressing and solving the challenges associated with WSNs. The common issue that is being studied and well-thought-out are how to increase the network's life span by resolving node failure problem and efficient energy utilization. This paper introduces a Cluster-based Node Recovery (CNR) connectivity restoration mechanism based on the concept of clustering. The proposed technique utilizes a distributed cluster-based approach to identify the failed nodes, while Cluster Heads (CHs) play a significant role in the restoration of connectivity. The simulation results show that the proposed technique efficiently addresses node failure and restores the connectivity by moving fewer nodes than other existing connectivity restoration mechanisms.

show abstract

“…Moreover, in other cases, it is assumed that sensor nodes should move methodically for keeping the network arrangement efficient. During sensor relocation, rather than repositioning the sensors at the deployment stage, a definite number of sensors are alternatively moved by on-demand relocation to reinforce the specific performance metrics [21,30].…”

Section: B On-demand Relocationmentioning

confidence: 99%

Node Relocation Techniques for Wireless Sensor Networks: A Short Survey

Hassan¹,

Mahmood²,

Ali³

et al. 2019

IJACSA

Self Cite

View full text Add to dashboard Cite

Sensor nodes in a sensor network often operate in harsh and challenging environments and this leads to frequent failure of sensor nodes. Failure of sensor nodes leads to partitioning in the network connectivity. For significant effectiveness of applications of sensor networks, the inter-sensor connectivity among sensors is vital. Some sensors are also involved in sustaining the flow of information from the sensor to unapproachable end users. The network can be split up into multiple incoherent blocks and cease working due to physical damage or onboard energy depletion. To deal with such scenarios, a plethora of node repositioning techniques are proposed in the literature. In this article, the recent and up to date mode of research on dynamic sensor repositioning in WSN is discussed. This article classifies sensor repositioning methods into on-demand and post-deployment repositioning based on whether the optimization is accomplished at deployment time or while the network is functioning.

show abstract

Intelligent On‐Demand Connectivity Restoration for Wireless Sensor Networks

Cited by 18 publications

References 17 publications

Hierarchical Fault Detection and Recovery Framework For Self-Healing WSN

Hierarchical Fault Detection and Recovery Framework For Self-Healing WSN

A Cluster-based Node Relocation Technique for Connectivity Restoration for Mobile Wireless Sensor Networks

Node Relocation Techniques for Wireless Sensor Networks: A Short Survey

Contact Info

Product

Resources

About