Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks

Wadud, Zahid; Javaid, Nadeem; Khan, Muhammad Awais; Alrajeh, Nabil; Alabed, Mohamad Souheil; Guizani, Nadra

doi:10.3390/s17071677

Cited by 16 publications

(8 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In [9] indicate that the results found in their study proved to be extremely significant in choosing a method to the destination based on the proposed algorithm. This is through utilisation of a linear optimisation that has computed a reasonable area which demonstrates that energy utilisation inside that area dependably encourages the network node to work for the maximal time.…”

Section: S Characteristics Comparison Of Simulation Developed In Pasmentioning

confidence: 85%

See 1 more Smart Citation

Wireless Sensor Networks, Internet of Things, and Their Challenges

2019

IJITEE

View full text Add to dashboard Cite

Internet of Things (IoT) is currently one of the top technological concepts where users and objects are interconnected using wired and wireless technologies such as Wireless Sensor Networks (WSNs), ZigBee, NFC, RFID, GPRS, LTE and Bluetooth, anywhere and anyplace. Within the past ten years, the idea of IoT has drawn massive consideration from both the business and research communities. Application domains may have many substantial benefits by means of an IoT approach. The idea of this field of study is to portray a basic knowledge of smart environmental monitoring system based on IoT. It has been stated in various studies in the past that IoT is facing multiple issues such as authentication, identification, availability, security and privacy, and socio-technical trust system (STTS). Nowadays, existing smart environments are continuing to face major IoT setbacks and challenges with regards to security, privacy, and STTS. Creating a STTS comparison in IoT is one of the principal significant breakthroughs necessary for building stable structures which will serve to eliminate doubt and technical setbacks. This study will present an outline of security, privacy and STTS in IoT while using a simulation method for comparing the results and justifying the outcomes. It aims to highlight and define the effectiveness of trust-management and how it should be exploited in IoT. The results will be indicated based upon past and present study result comparisons.

show abstract

Section: S Characteristics Comparison Of Simulation Developed In Pasmentioning

confidence: 85%

“…IoT implants intelligence and technical knowledge into our environments by transforming accumulated data into smart data. As such, WSN is considered a basic factor of IoT [9]. WSNs provide us with the information used by the IoT.…”

Section: A Differences Between Wsns and Iotmentioning

confidence: 99%

Wireless Sensor Networks, Internet of Things, and Their Challenges

2019

IJITEE

View full text Add to dashboard Cite

show abstract

“…The performance of the network is adversely affected when void hole is created. Wadud et al 28 proposed a protocol that focuses on alleviating the hole for prolonging the network lifetime. Their approach aims at balancing energy dissipation by dividing the number of transmissions evenly in various network areas.…”

Section: Strategy Advantage Flawmentioning

confidence: 99%

Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks

Khan

Islam

Ismail

et al. 2020

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

In the recent past, a significant increase has been observed in the use of underwater wireless sensor networks for aquatic applications. However, underwater wireless sensor networks face several challenges including large propagation delays, high mobility, limited bandwidth, three-dimensional deployments, expensive manufacturing, and energy constraints. It is crucial for underwater wireless sensor networks to mitigate all these limitations primarily caused by the harsh underwater environment. To address some of the pertinent challenges, adaptive hop-by-hop cone vector-based forwarding routing protocol is proposed in this article which is based on the adaptive hop-by-hop vector-based forwarding. The novelty of adaptive hop-by-hop cone vector-based forwarding includes increasing the transmission reliability in sparse sensor regions by changing the base angle of the cone according to the network structure. The number of duplicate packets and end-to-end delay is also reduced because of the reduced base angle and a smart selection criterion for the potential forwarder node. The proposed routing protocol adaptively tunes the height and opening of the cone based on the network structure to effectively improve the performance of the network. Conclusively, this approach significantly reduces energy tax, end-to-end delay, and packet delivery ratio.

show abstract

“…The creation of a hole is a major factor in degrading the performance of the entire network. In this regard, Zahid et al [ 25 ] proposed a protocol to maximize the network lifespan via hole alleviation. It evenly divides the number of transmissions over various network areas that are capable of balancing energy dissipation among the nodes.…”

Section: Previous Workmentioning

confidence: 99%

DOW-PR DOlphin and Whale Pods Routing Protocol for Underwater Wireless Sensor Networks (UWSNs)

Wadud

Ullah

Hussain

et al. 2018

Sensors

Self Cite

View full text Add to dashboard Cite

Underwater Wireless Sensor Networks (UWSNs) have intrinsic challenges that include long propagation delays, high mobility of sensor nodes due to water currents, Doppler spread, delay variance, multipath, attenuation and geometric spreading. The existing Weighting Depth and Forwarding Area Division Depth Based Routing (WDFAD-DBR) protocol considers the weighting depth of the two hops in order to select the next Potential Forwarding Node (PFN). To improve the performance of WDFAD-DBR, we propose DOlphin and Whale Pod Routing protocol (DOW-PR). In this scheme, we divide the transmission range into a number of transmission power levels and at the same time select the next PFNs from forwarding and suppressed zones. In contrast to WDFAD-DBR, our scheme not only considers the packet upward advancement, but also takes into account the number of suppressed nodes and number of PFNs at the first and second hops. Consequently, reasonable energy reduction is observed while receiving and transmitting packets. Moreover, our scheme also considers the hops count of the PFNs from the sink. In the absence of PFNs, the proposed scheme will select the node from the suppressed region for broadcasting and thus ensures minimum loss of data. Besides this, we also propose another routing scheme (whale pod) in which multiple sinks are placed at water surface, but one sink is embedded inside the water and is physically connected with the surface sink through high bandwidth connection. Simulation results show that the proposed scheme has high Packet Delivery Ratio (PDR), low energy tax, reduced Accumulated Propagation Distance (APD) and increased the network lifetime.

show abstract

Lifetime Maximization via Hole Alleviation in IoT Enabling Heterogeneous Wireless Sensor Networks

Cited by 16 publications

References 31 publications

Wireless Sensor Networks, Internet of Things, and Their Challenges

Wireless Sensor Networks, Internet of Things, and Their Challenges

Adaptive hop-by-hop cone vector-based forwarding protocol for underwater wireless sensor networks

DOW-PR DOlphin and Whale Pods Routing Protocol for Underwater Wireless Sensor Networks (UWSNs)

Contact Info

Product

Resources

About