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DEADS: Depth and Energy Aware Dominating Set Based Algorithm for Cooperative Routing along with Sink Mobility in Underwater WSNs.

Umar A, Javaid N, Ahmad A, Khan ZA, Qasim U, Alrajeh N, Hayat A - Sensors (Basel) (2015)

Bottom Line: More specifically, cooperative routing has not yet been jointly considered with sink mobility.Therefore, this paper aims to enhance the network reliability and efficiency via dominating set based cooperative routing and sink mobility.The proposed work is validated via simulations which show relatively improved performance of our proposed work in terms the selected performance metrics.

View Article: PubMed Central - PubMed

Affiliation: COMSATS Institute of Information Technology, Park Road, Islamabad 44000, Pakistan. amara_t7@yahoo.com.

ABSTRACT
Performance enhancement of Underwater Wireless Sensor Networks (UWSNs) in terms of throughput maximization, energy conservation and Bit Error Rate (BER) minimization is a potential research area. However, limited available bandwidth, high propagation delay, highly dynamic network topology, and high error probability leads to performance degradation in these networks. In this regard, many cooperative communication protocols have been developed that either investigate the physical layer or the Medium Access Control (MAC) layer, however, the network layer is still unexplored. More specifically, cooperative routing has not yet been jointly considered with sink mobility. Therefore, this paper aims to enhance the network reliability and efficiency via dominating set based cooperative routing and sink mobility. The proposed work is validated via simulations which show relatively improved performance of our proposed work in terms the selected performance metrics.

No MeSH data available.


Specifications of elliptical mobility path followed by MSs.
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f8-sensors-15-14458: Specifications of elliptical mobility path followed by MSs.

Mentions: Figure 8 shows the elliptical mobility path followed by each MS. xo and yo represent the center coordinates of each elliptical path which are the same for each ellipse. a and b represent semi-major and semi-minor axis of each elliptical pattern, where; a = 2b. Values of a and b are different for each elliptical path. θ represents the angle which is varied for clock-wise or counter clock-wise movement. After each predefined time interval, θ is incremented or decremented by a certain value for counter clock-wise or clock-wise movement of MSs. Value of θ can be adjusted according to the network requirements. Figure 9 shows data routing in the network in which MSs follow an elliptical mobility pattern. Data is routed from high depth to low depth region according to the rules defined in Section 4. All the nodes find dth, find appropriate CC or R, DS or D nodes and then forward data by using cooperative manner. Nodes forward data by using either DEADS-SRC or DEADS-MRC. As shown in Figure 9, node D and F are forwarding data towards the preselected next-hop (DS or D) node via MRC, whereas, node E forwards data directly towards MS via SRC.


DEADS: Depth and Energy Aware Dominating Set Based Algorithm for Cooperative Routing along with Sink Mobility in Underwater WSNs.

Umar A, Javaid N, Ahmad A, Khan ZA, Qasim U, Alrajeh N, Hayat A - Sensors (Basel) (2015)

Specifications of elliptical mobility path followed by MSs.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4507626&req=5

f8-sensors-15-14458: Specifications of elliptical mobility path followed by MSs.
Mentions: Figure 8 shows the elliptical mobility path followed by each MS. xo and yo represent the center coordinates of each elliptical path which are the same for each ellipse. a and b represent semi-major and semi-minor axis of each elliptical pattern, where; a = 2b. Values of a and b are different for each elliptical path. θ represents the angle which is varied for clock-wise or counter clock-wise movement. After each predefined time interval, θ is incremented or decremented by a certain value for counter clock-wise or clock-wise movement of MSs. Value of θ can be adjusted according to the network requirements. Figure 9 shows data routing in the network in which MSs follow an elliptical mobility pattern. Data is routed from high depth to low depth region according to the rules defined in Section 4. All the nodes find dth, find appropriate CC or R, DS or D nodes and then forward data by using cooperative manner. Nodes forward data by using either DEADS-SRC or DEADS-MRC. As shown in Figure 9, node D and F are forwarding data towards the preselected next-hop (DS or D) node via MRC, whereas, node E forwards data directly towards MS via SRC.

Bottom Line: More specifically, cooperative routing has not yet been jointly considered with sink mobility.Therefore, this paper aims to enhance the network reliability and efficiency via dominating set based cooperative routing and sink mobility.The proposed work is validated via simulations which show relatively improved performance of our proposed work in terms the selected performance metrics.

View Article: PubMed Central - PubMed

Affiliation: COMSATS Institute of Information Technology, Park Road, Islamabad 44000, Pakistan. amara_t7@yahoo.com.

ABSTRACT
Performance enhancement of Underwater Wireless Sensor Networks (UWSNs) in terms of throughput maximization, energy conservation and Bit Error Rate (BER) minimization is a potential research area. However, limited available bandwidth, high propagation delay, highly dynamic network topology, and high error probability leads to performance degradation in these networks. In this regard, many cooperative communication protocols have been developed that either investigate the physical layer or the Medium Access Control (MAC) layer, however, the network layer is still unexplored. More specifically, cooperative routing has not yet been jointly considered with sink mobility. Therefore, this paper aims to enhance the network reliability and efficiency via dominating set based cooperative routing and sink mobility. The proposed work is validated via simulations which show relatively improved performance of our proposed work in terms the selected performance metrics.

No MeSH data available.