AMCTD: Adaptive Mobility of Courier nodes in Threshold-optimized DBR Protocol for Underwater Wireless Sensor Networks

被引:55
作者
Jafri, M. R. [1 ]
Ahmed, S. [1 ,2 ]
Javaid, N. [1 ,4 ]
Ahmad, Z. [2 ]
Qureshi, R. J. [3 ]
机构
[1] COMSATS Inst IT, Dept Elect Engn, Islamabad, Pakistan
[2] Abasyn Univ, Peshawar, Pakistan
[3] SZABIST, Dubai, U Arab Emirates
[4] CAST, COMSATS Inst IT, Islamabad, Pakistan
来源
2013 EIGHTH INTERNATIONAL CONFERENCE ON BROADBAND, WIRELESS COMPUTING, COMMUNICATION AND APPLICATIONS (BWCCA 2013) | 2013年
关键词
Weight function; Courier nodes; Underwater Wireless Sensor Networks; Depth-based routing; ROUTING PROTOCOL;
D O I
10.1109/BWCCA.2013.24
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In dense underwater sensor networks (UWSN), the major confronts are high error probability, incessant variation in topology of sensor nodes, and much energy consumption for data transmission. However, there are some remarkable applications of UWSN such as management of seabed and oil reservoirs, exploration of deep sea situation and prevention of aqueous disasters. In order to accomplish these applications, ignorance of the limitations of acoustic communications such as high delay and low bandwidth is not feasible. In this paper, we propose Adaptive mobility of Courier nodes in Threshold-optimized Depth-based routing (AMCTD), exploring the proficient amendments in depth threshold and implementing the optimal weight function to achieve longer network lifetime. We segregate our scheme in 3 major phases of weight updating, depth threshold variation and adaptive mobility of courier nodes. During data forwarding, we provide the framework for alterations in threshold to cope with the sparse condition of network. We ultimately perform detailed simulations to scrutinize the performance of our proposed scheme and its comparison with other two notable routing protocols in term of network lifetime and other essential parameters. The simulations results verify that our scheme performs better than the other techniques and near to optimal in the field of UWSN.
引用
收藏
页码:93 / 99
页数:7
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