SEDG: Scalable and Efficient Data Gathering Routing Protocol for Underwater WSNs

Ilyas, Naveed; Akbar, Mariam; Ullah, Rehmat; Khalid, Muhammad; Arif, A. Suki M.; Hafeez, Abdul; Qasim, Umar; Khan, Zahoor Ali; Javaid, Nadeem

doi:10.1016/j.procs.2015.05.043

Cited by 42 publications

(18 citation statements)

References 13 publications

(5 reference statements)

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“…UWSN is also widely used in underwater oil and gas pipeline corrosion detection and military security applications. In order to design an efficient UWSN routing protocol, researchers face many challenges which attenuate the medium, such as node mobility, end-to-end propagation delay, and energy saving [55]. Table 7, depicts the example of the real-time applications for underwater sensor networks.…”

Section: Underwater Sensor Networkmentioning

confidence: 99%

A Comprehensive Survey on Real-Time Applications of WSN

et al. 2017

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Nowadays, the investigation of the Wireless Sensor Network (WSN) has materialized its functional area ubiquitously such as environmental engineering, industrial and business applications, military, feedstock and habitat, agriculture sector, seismic detection, intelligent buildings, smart grids, and predictive maintenance, etc. Although some challenges still exist in the wireless sensor network, in spite of the shortcoming, it has been gaining significant attention among researchers and technologists due to its versatility and robustness. WSN is subject to a high potential technology that has been successfully implemented and tested in real-time scenarios, as well as deployed practically in various applications. In this paper, we have carried out an extensive survey in real-time applications of wireless sensor network deployment in a practical scenario such as the real-time intelligent monitoring of temperature, criminal activity in borders and surveillance on traffic monitoring, vehicular behavior on roads, water level and pressure, and remote monitoring of patients. The application of the Wireless Sensor Network in the assorted field of research areas has been widely deliberated. WSN is found to be the most effective solution in remote areas which are not yet explored due to its perilous nature and unreachable places. Here, in this study, we have cited the recent and updated research on the ubiquitous usage of WSN in diverse fields in an extensive and comprehensive approach.

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Section: Underwater Sensor Networkmentioning

confidence: 99%

A Comprehensive Survey on Real-Time Applications of WSN

et al. 2017

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“…Localization is a phenomenon in which the location of node is already known to other nodes and sinks, which make it easier for sink to locate and communicate it. Multiple schemes like area based scheme, area localization scheme, and hop count based scheme have been discussed [36]. In Energy-Efficient Dynamic Address Based (EE-DAB) routing [37] every node is assigned Node-ID, S-HopID, and C-HopID.…”

Section: Node Architecturementioning

confidence: 99%

A Survey of Routing Issues and Associated Protocols in Underwater Wireless Sensor Networks

et al. 2017

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Underwater wireless sensor networks are a newly emerging wireless technology in which small size sensors with limited energy and limited memory and bandwidth are deployed in deep sea water and various monitoring operations like tactical surveillance, environmental monitoring, and data collection are performed through these tiny sensors. Underwater wireless sensor networks are used for the exploration of underwater resources, oceanographic data collection, flood or disaster prevention, tactical surveillance systems, and unmanned underwater vehicles. Sensor nodes consist of a small memory, a central processing unit, and an antenna. Underwater networks are much different from terrestrial sensor networks as radio waves cannot be used in underwater wireless sensor networks. Acoustic channels are used for communication in deep sea water. Acoustic signals have many limitations, such as limited bandwidth, higher end-to-end delay, network path loss, higher propagation delay, and dynamic topology. Usually, these limitations result in higher energy consumption with a smaller number of packets delivered. The main aim nowadays is to operate sensor nodes having a smaller battery for a longer time in the network. This survey has discussed the state-of-the-art localization based and localization-free routing protocols. Routing associated issues in the area of underwater wireless sensor networks have also been discussed.

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“…Clustering is the most effective method for improving the energy efficiency and network lifetime . To deal with CH or CM faults, some of the work has been focusing on fault detection and recovery in a cluster is discussed here.…”

Section: Related Workmentioning

confidence: 99%

A novel fault detection and recovery technique for cluster‐based underwater wireless sensor networks

Goyal

Dave

Verma

2017

Int J Communication

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The performance of underwater wireless sensor network gets affected by the working of a cluster in the network. The cluster head (CH) or cluster member (CM) fails because of energy depletion or hardware errors that increase delay and message overhead of the network. To recover the affected cluster, a technique is required to identify the failed CH or CM. We propose a fault detection and recovery technique (FDRT) for a cluster-based network in this paper. Primarily, while selecting the CH, a backup cluster head (BCH) is selected using fuzzy logic technique based on parameters such as node density, residual energy, load, distance to sink, and link quality. Then, failure of CH, BCH, and CM is detected. If fault is detected at CH, then the BCH will start performing the task of failed CH. Simultaneously, when BCH failed, any other CM will be elected as BCH. If any of the CM appears to be nonperforming, then CH will detect the communication failure and request BCH to transfer the data from the failed CM to CH. The comparison of proposed FDRT is performed with existing FDRTs EDETA, RCH, and SDMCGC on the basis of packet drop, end-to-end delay, energy consumption, and delivery ratio of data packets. By simulation results, it is shown that FDRT for cluster-based underwater wireless sensor network results in quicker detection of failures and recovery of the network along with the reduction in energy consumption, thereby increasing the lifespan of the network.KEYWORDS backup cluster head, cluster head, cluster member, fault detection, fault recovery, UWSN

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SEDG: Scalable and Efficient Data Gathering Routing Protocol for Underwater WSNs

Cited by 42 publications

References 13 publications

A Comprehensive Survey on Real-Time Applications of WSN

A Comprehensive Survey on Real-Time Applications of WSN

A Survey of Routing Issues and Associated Protocols in Underwater Wireless Sensor Networks

A novel fault detection and recovery technique for cluster‐based underwater wireless sensor networks

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