Extended Lifetime Based Elliptical Sink-Mobility in Depth Based Routing Protocol for UWSNs

Ilyas, Naveed; Javaid, Nadeem; Iqbal, Zafar; Imran, Muhammad; Khan, Zahoor Ali; Qasim, Umar; Shoaib, Muhammad

doi:10.1109/waina.2015.130

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…Let mobile sinks reach the left end of the region at time t=TL. On reaching the left end horizontal trajectory of the Layer-i sink's instantaneous position is defined by ( 6) to (8),…”

Section: Mathematical Model Of Proposed Methodsmentioning

confidence: 99%

“…Wahid et al [7] proposed energy-depth based routing (EEDBR) where both depth and residual energy information are considered for choosing the next forwarding node, to improve network lifetime. Ilyas et al [8] used a mobile sink with an elliptic path for gathering data and depth information for choosing the next-forwarding node in sink mobility in depth-based routing (SMDBR), to improve network lifetime and energy consumption. Mahmood et al [9] restricted the number of neighbor nodes receiving data, to improve energy efficiency in the constraint based DBR (CDBR) protocol.…”

Section: Introductionmentioning

confidence: 99%

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Horizontal trajectory based mobile multi-sink routing in underwater sensor networks

Patil¹,

Kanavalli

2023

IJECE

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Scientific, commercial, exploration, and monitoring applications of underwater sensor networks have drawn the attention of researchers toward the investigation of routing protocols that are robust, scalable, and energy efficient. This has brought significant research in network layer routing protocols. Irrespective of the field of application it is desirable to increase network lifetime by reducing energy consumed by sensor nodes in the network or by balancing energy in the entire network. Energy balancing refers to the uniform distribution of the network’s residual energy such that all nodes remain alive for a long time. It requires uniform energy consumption by each sensor node in the network instead of the same node being involved in every transmission. In this paper, we discuss two routing methods for three-dimensional environments in which the water region under monitor is divided into subregions of equal height and each subregion has a sink. Nodes in the subregion send data to the sink designated for that subregion. The first method called static multi-sink routing uses static sinks and the second method called horizontal trajectory-based mobile multi-sink routing (HT-MMR) uses mobile sinks with a horizontal trajectory. Simulation results show that the proposed HT-MMR reduces average energy consumption and average energy tax by 16.69% and 16.44% respectively. HT-MMR is energy efficient as it enhances network lifetime by 11.11%.

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“…Let mobile sinks reach the left end of the region at time t=TL. On reaching the left end horizontal trajectory of the Layer-i sink's instantaneous position is defined by ( 6) to (8),…”

Section: Mathematical Model Of Proposed Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Horizontal trajectory based mobile multi-sink routing in underwater sensor networks

Patil¹,

Kanavalli

2023

IJECE

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Intelligent autonomous underwater vehicle mobility with energy efficient routing in sensor networks

Shafi

Ashraf

Choi

et al. 2022

Environ Dev Sustain

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Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment With Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation

et al. 2022

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Gliomas are the most common and highly growing tumors lead to high mortality rate in their highest grade. The early diagnosis of gliomas, and treatment planning are most important steps to enhance the life expectancy of a patient. Among the modern imaging techniques, magnetic resonance imaging (MRI) is the most robust and widely used technique to visualize the brain tumor. The CNN-based networks mainly depend on multi-branch and increasing the depth/width of the network to enhance the segmentation accuracy at the cost of high computational cost. To mitigate these drawbacks we therefore, propose a hybrid weights alignment with multi-dilated attention network for automatic brain tumor segmentation (Hybrid-DANet). It employs multiple modules incorporated on baseline encoder-decoder architecture. Firstly, we proposed a novel hybrid weight alignment with multi-dilated attention module (HWADA) is used between the skip connections. It has capability to obtain the different sets of aligned weight by using different dilation schemes. Different weight alignments play a vital role to obtain very precise targeted information while negating the less informative part. It utilizes the low and high level information with skip connections across each branch of encoder and decoder. Secondly, we incorporated a multi channel multi scale module (MCS) on the baseline module. It consists of multiple channels used to extract the channel-wise information with more reduced computational cost. To reduce the resultant saturated accuracy due to vanishing gradient problem, we incorporated the residual module (RM). Thus, the RM, and MCS are useful to obtain the deep, intrinsic, channel-wise feature without expansion of depth and height. Whereas the novel HWADA not only propagates the low level information but also process it to obtain more semantic features used for decoder. We have tested our proposed technique on well-known datasets; BraTS 2017, and 2018 with comparable performance to counter-part.

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Extended Lifetime Based Elliptical Sink-Mobility in Depth Based Routing Protocol for UWSNs

Cited by 4 publications

References 13 publications

Horizontal trajectory based mobile multi-sink routing in underwater sensor networks

Horizontal trajectory based mobile multi-sink routing in underwater sensor networks

Intelligent autonomous underwater vehicle mobility with energy efficient routing in sensor networks

Hybrid-DANet: An Encoder-Decoder Based Hybrid Weights Alignment With Multi-Dilated Attention Network for Automatic Brain Tumor Segmentation

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