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A hybrid technique to provide effective allocation based on mac with UWSN for energy efficiency and effective communication

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Abstract

In the Underwater Wireless Sensor Network (UWSN), the localization of sensor underwater plays a vital role. The underwater sensor gathers information from the earth and transmits the obtained data to the monitoring station. However, the UWSN is facing more serious issues than WSN like long propagation delay, shadow zones, narrow bandwidth, complex geographical environment, high bit error rates, etc. Therefore, the development of effective techniques in UWSN is highly demanded. The reason behind the proposed work is to develop an Energy Consumption-Hybrid Grass Hopper with Cuckoo Search (EC-HGCS) algorithm to mitigate the localization error based on analyzing the parameter of each sensor. The proposed algorithm is a combination of the Grasshopper Optimization Algorithm (GOA) and Cuckoo Search Algorithm (CS). Here, The GOA is improved with the help of the CS algorithm; therefore, highly effective communication can be achieved. The implementation is done in the NS2 platform with some simulation parameters and by comparing the performance metrics like overhead, Packet drops delivery ratio, delay, energy consumption, and throughput with the existing techniques. Eventually, for the proposed approach the throughput and delivery ratio are higher on the other hand energy consumption, overhead, packet drop and delay are lower than in the existing technique.

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Data availability

All the data is collected from the simulation reports of the software and tools used by the authors. Authors are working on implementing the same using real-world data with appropriate permissions.

Abbreviations

Xi :

Position of ith grasshopper

Si :

Social Interaction of Grasshopper

Gi :

Gravity force on with Grasshopper

Ai :

Wind advection

d ij :

Distance between the ith and jth grasshopper

s:

Strength of social forces

f:

Intensity of attraction

l:

Attractive length scale

g:

Gravitation component

\( {\hat{e}}_g \) :

A unity vector towards the center of the earth

u:

Constant drift

e ̂w :

A unity vector in the direction of the wind

N:

Number of grasshoppers

n :

Nest

x (t + 1) :

Levy flight

Y σ :

Shadowing factor

1p :

propagation loss exponent

p 0(e 0):

Reference Power

P re. x(e i):

Received Signal Power

\( \hat{d_i\ } \) :

Real Distance

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Authors and Affiliations

  1. Department of Electronics and Communication Engineering, CVR College of Engineering, Hyderabad, India

    B. Ramesh & B. N. Bhandari

  2. Department of Electronics and Communication Engineering, Vignana Bharathi Institute of Technology, Hyderabad, Hyderabad, India

    S. Pothalaiah

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  1. B. Ramesh
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  2. B. N. Bhandari
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  3. S. Pothalaiah
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Correspondence to B. Ramesh.

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Ramesh, B., Bhandari, B.N. & Pothalaiah, S. A hybrid technique to provide effective allocation based on mac with UWSN for energy efficiency and effective communication. Multimed Tools Appl 82, 28977–28996 (2023). https://doi.org/10.1007/s11042-023-14897-x

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