Balanced Energy Consumption Based Adaptive Routing for IoT Enabling Underwater WSNs

Javaid, Nadeem; Cheema, Saman; Akbar, Mariam; Alrajeh, Nabil; Alabed, Mohamad Souheil; Guizani, Nadra

doi:10.1109/access.2017.2706741

Cited by 81 publications

(43 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The proposed centralized routing algorithm increases the network lifetime in terms of the WSNs nodes consumption. Enabling IoT for underwater WSNs with balanced energy consumption by adaptive routing protocol for the sensor node been proposed by [14]. The underwater WSNs becomes difficult to work due to multifold limitations (e.g., power consumption, path loss, and inadequate bandwidth).…”

Section: Energy Efficiency In Wsn Nodesmentioning

confidence: 99%

Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network

Rahiman¹,

Islam²,

Derahman³

2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

Recently, wireless sensor network (WSN) gets more concern due to the robustness in the latest communication technology iteration such as big data, IoT and 5G. Such daily usage of these technologies includes smart home, smart farming, smart traffic control etc. Moreover, WSN becomes the best preference for mobile objects in data accumulating in a wild range area. Routing distance, signal interference and routing computational cost give a significant impact to the WSN nodes lifetime. Unsynchronized node time allocation slot and neighbor discovery are the main factors in the energy consumption issue faced by the WSN. Higher energy consumption reduces the network lifetime and WSN nodes performance. This paper discusses the optimization of energy-topology (E-T) factors for distributed time division multiplexing algorithm (TDMA) slot scheduling for high-speed data link capacity. The E-T factor is based on the influence of residual energy and topology on the time slot allocation. Both node residual energy and topology information have shown a respectable impact on the TDMA node slot allocation. Moreover, the numbers of neighbors and the network residual energy have been proved both nodes execution time and energy utilization can be reduced in the algorithm. The algorithm performance has been evaluated based on the previous experiment parameters with new high-speed data link. The experimental results have shown a significant improvement in residual energy consumption for the proposed optimized TDMA slot allocation

show abstract

Section: Energy Efficiency In Wsn Nodesmentioning

confidence: 99%

Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network

Rahiman¹,

Islam²,

Derahman³

2019

Adv. sci. technol. eng. syst. j.

View full text Add to dashboard Cite

show abstract

“…Instead, acoustic communication is being used to transmit pulse signals and low fidelity information underwater due to its low bandwidth. Potential UWSN applications such as measuring the amount of pollution from a hing farm at the seabed [9] require transmitting lots of data. However, with such low frequencies, it requires a lot of time to send such dynamic data.…”

Section: Requirement Of Novel Protocols For Uwsnsmentioning

confidence: 99%

“…Proper choice of topology makes the connectivity more reliable. For example, in case star topology, there is only single hop communication, in case of mesh topology, multi-hop is possible and clustering topology is a combination of multimesh networks [9].…”

Section: Topologymentioning

confidence: 99%

“…It is a sensitive metric that quantifies the ability of the network to communicate (especially in sparse networks) [8], [9].It is the fraction of node pairs in an interesting area for researchers to work on. With the advancement in sensor and wireless technologies, UWSNs have attracted a lot of ntributed significantly field.…”

Section: Reachabilitymentioning

confidence: 99%

“…The signal loss is due to signal ficant distance, or due to absorption of particles or molecules in the medium, or due to weather conditions. fies the ability of the network to communicate (especially in sparse networks) [8], [9].It is the fraction of node pairs in the total number of nodes. Less reachability refers to a situation where the number of no form a link are less; consequently the connectivity is poor.…”

Section: Factors Affecting Underwater Connectivitymentioning

confidence: 99%

See 2 more Smart Citations

A Review on Architecture, Issues, Challenges and Applications in Underwater Wireless Sensor Network

Rai¹,

Malik²

2018

IJTSRD

View full text Add to dashboard Cite

Underwater Wireless Sensor Network (UWSN) is an emerging technique for various underwater applications such as marine climate observation, pollution tracking, disaster prevention, underwater surveillance etc. And, each of these applications require Sensor Nodes (SNs) to effectively provide accurate sensed data. A node must know its own location before sending data to its neighbour. The need for location arises because the number of nodes is very large and it is not possible for the base station to find the nodes' positions, so the individual node is required to send location information along with the observed data to provide exact location to the user, which means the node must localize itself. However, due to the complex environment, it is very challenging to transmit the collected data to the base station on the surface quickly and effectively. An energy efficient routing protocol plays a vital role in data transmission. However, due to the speci characteristics of UWSNs, such as dynamic structure, narrow bandwidth, rapid energy consumption, and high latency, it is difficult to build routing protocols for UWSNs. In this article, we focus on surveying Underwater Wireless Sensor Network (UWSN) is an emerging technique for various underwater applications such as marine climate observation, pollution tracking, disaster prevention, underwater h of these applications require Sensor Nodes (SNs) to effectively provide accurate sensed data. A node must know its own location before sending data to its neighbour. The need for location arises because the number of nodes sible for the base station find the nodes' positions, so the individual node is required to send location information along with the observed data to provide exact location to the user, which means the node must localize itself. However, ex environment, it is very challenging to transmit the collected data to the base station on the surface quickly and effectively. An ficient routing protocol plays a vital role in data transmission. However, due to the specific SNs, such as dynamic structure, narrow bandwidth, rapid energy consumption, and ficult to build routing protocols for UWSNs. In this article, we focus on surveying architecture, challenges, opportunities as well as various applications in UWSN.

show abstract

Exploration of power consumption monitoring based on Internet of things

Chen¹,

Huang

2018

Concurrency and Computation

View full text Add to dashboard Cite

SummaryTo solve the problem that the general power consumption monitoring system only realizes the total amount statistics of energy consumption information, but there is no statistical analysis of energy consumption in items and classification as well as energy saving control, a solution scheme to the power consumption monitoring and energy saving management system based on the Internet of things technology was proposed. Based on the research on the Internet of things architecture and combined with the actual functional requirements of the project, the four‐level architecture of the Internet of things was designed. The database technology was used to achieve an expert system for enterprise energy saving control based on relational model. Finally, according to the actual project, the engineering application of the system was introduced. The research showed that the system proposed could effectively monitor the power consumption of enterprises and analyze and manage energy consumption. To sum up, the power consumption can be well monitored by applying Internet of things.

show abstract

Balanced Energy Consumption Based Adaptive Routing for IoT Enabling Underwater WSNs

Cited by 81 publications

References 25 publications

Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network

Resourceful Residual Energy Consumption in TDMA Scheduling for IoT-based Wireless Sensor Network

A Review on Architecture, Issues, Challenges and Applications in Underwater Wireless Sensor Network

Exploration of power consumption monitoring based on Internet of things

Contact Info

Product

Resources

About