An Energy-Efficient Reliable Data Transmission Scheme for Complex Environmental Monitoring in Underwater Acoustic Sensor Networks

Wang, Kun; Gao, Hui; Xu, Xin; Jiang, Jinfang; Yang, Dong

doi:10.1109/jsen.2015.2428712

Cited by 179 publications

(71 citation statements)

References 34 publications

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“…The protocol proposed in [15] considers the underwater network as a cube and subdivides it into smaller cubes. Every cube has a cluster head selected based on the power it retains and its distance from the surface.…”

Section: Related Workmentioning

confidence: 99%

Reliability-Aware Cooperative Routing with Adaptive Amplification for Underwater Acoustic Wireless Sensor Networks

et al. 2019

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The protocols in underwater acoustic wireless sensor networks (UAWSNs) that address reliability in packets forwarding usually consider the connectivity of the routing paths up to one- or two-hops. Since senor nodes are connected with one another using other nodes in their neighborhood, such protocols have compromised reliability. It is because these protocols do not guarantee the presence of neighbors beyond the selected one- or two-hops for connectivity and path establishment. This is further worsened by the harshness and unpredictability of the underwater scenario. In addition, establishment of the routing paths usually requires the nodes’ undersea geographical locations, which is infeasible because currents in water cause the nodes to move from one position to another. To overcome these challenges, this paper presents two routing schemes for UAWSNs: reliability-aware routing (RAR) and reliability-aware cooperative routing with adaptive amplification (RACAA). RAR considers complete path connectivity to advance packets to sea surface. This overcomes packets loss when connectivity is not established and forwarder nodes are not available for data routing. For all the established paths, the probability of successfully transmitting data packets is calculated. This avoids the adverse channel effects. However, sea channel is unpredictable and fluctuating and its properties may change after its computation and prior to information transmission. Therefore, cooperative routing is introduced to RAR with adaptive power control of relays, which makes the RACCA protocol. In RACAA, a relay node increases its transmit power than normal when the error in the data; it receives from the sender, is more than 50 % before transferring it further to destination. This further increases the reliability when such packets are forwarded. Unlike the conventional approach, the proposed protocols are independent of knowing the geographical locations of nodes in establishing the routes, which is computationally challenging due to nodes’ movements with ocean currents and tides. Simulation results exhibit that RAR and RACAA outperform the counterpart scheme in delivering packets to the water surface.

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Section: Related Workmentioning

confidence: 99%

Reliability-Aware Cooperative Routing with Adaptive Amplification for Underwater Acoustic Wireless Sensor Networks

et al. 2019

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“…In an ocean application where the water level is very deep efficiency and reliability of UASNs technique is very challenging for data transfer to monitor any unusual submarine oil pipelines. The paper [22] has proposed a health monitoring system for diagnosis and anticipating medical stress. The proposed system not only monitors with accuracy but also provide the feedback to the user.…”

Section: Related Workmentioning

confidence: 99%

A Secure Internet of Things based Smart Monitoring System

Mohanta¹,

Jena²

2019

IJITEE

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Internet of Things (IoT) is a connection of interconnected any things deployed in different applications. The IoT is emerging as a technique for real-time monitoring the environment like Earthquake early detection. Snow level monitoring, forest fire detection, Gas level monitoring in a Smart Kitchen. IoT based sensor network need secure communication, processing, analytics and transient storage for better monitoring of smart environments. In this article, the authors proposed a secure framework for data collection and further processing from the sensors network to the core of the network using Fog-Cloud based architecture. The paper implemented the proposed framework taking different sensors deploy in an IoT based smart kitchen environment. For experimental purpose, Raspberry Pi used as a fog node and local cloud server to monitor the environment in real-time, SQLite is used as buffer storage. The experimental setup and result show that the proposed framework is secure to monitoring in a sensor network.

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“…End to end delay is increased because of time spent on removing coverage hole in network. An Energy-Efficient Reliable Data Transmission Scheme for Complex Environmental Monitoring in UASNs [7], maximizes network lifetime with the help of effective energy operation. Technique used in this paper is data transmission scheme known as Energy-efficiency Grid Routing based on 3D Cubes (EGRCs).…”

Section: Related Work and Motivationmentioning

confidence: 99%

A balanced energy consumption-based routing protocol for eﬃcient data gathering in underwater ASNs

Karim¹,

Javaid²,

Sher³

et al. 2018

EAI Endorsed Transactions on Energy Web

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Energy is a unique characteristic of Underwater Acoustic Sensor Networks (UASNs) which is limited in features and a basic point on which the whole network depends. On the basis of efficient energy utilization, we propose a routing protocol Enhanced and Efficient Balance energy consumption in Data Gathering (EEBDG) for UASNs. This routing scheme EEBDG, works for large scale area networks efficiently and effectively by balanced energy consumption. EEBDG removes the deficiency of previous routing scheme in which mixed routing performs all over the network which is not possible in real world when network size increases. By the increase in area of a network, we avoid the direct transmission mode using only hop by hop transmission. The contribution of our work is to extend network lifetime with large scale in the form of increased nodes and dimension, minimize energy utilization by balanced energy consumption, increased number of packets transfer. Our trade-off is packet drop ratio when number of nodes is small in sparse networks, but when the number of nodes increases our packets drop is also improved.

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An Energy-Efficient Reliable Data Transmission Scheme for Complex Environmental Monitoring in Underwater Acoustic Sensor Networks

Cited by 179 publications

References 34 publications

Reliability-Aware Cooperative Routing with Adaptive Amplification for Underwater Acoustic Wireless Sensor Networks

Reliability-Aware Cooperative Routing with Adaptive Amplification for Underwater Acoustic Wireless Sensor Networks

A Secure Internet of Things based Smart Monitoring System

A balanced energy consumption-based routing protocol for eﬃcient data gathering in underwater ASNs

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