Validation of multiple mobile elements based data gathering protocols for dynamic and static scenarios in Wireless Sensor Networks

被引:2
作者
Jayram, Bhat Geetalaxmi [1 ]
Ashoka, D. V. [2 ]
机构
[1] Natl Inst Engn, Mysuru, Karnataka, India
[2] JSS Acad Tech Educ, Bangalore, Karnataka, India
来源
2ND INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING, COMMUNICATION & CONVERGENCE, ICCC 2016 | 2016年 / 92卷
关键词
Aggregation; Data Gathering; Dynamic; Efficiency; Lifetime; Mobile Elements; Static; Validation; DATA AGGREGATION;
D O I
10.1016/j.procs.2016.07.354
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
WSNs consist of sensors with communication and sensing capabilities. Here authors have focused on data gathering techniques in energy constrained sensor network. This paper contains two data gathering techniques which uses multiple mobile elements meant for collecting data from sensor nodes. One is Mobile Element based Energy-Efficient Data Gathering with Tour Length-Constrained in WSNs (EEDG). Another is an Intelligent Agent-based Routing Structure for Mobile Sinks in WSNs (IAR). Both protocols performance is compared by taking statistics based on performance metrics. Through this paper authors have made an endeavour to validate these protocols in static and dynamic scenarios based on the performance metrics. Analysis is the clear evidence of the fact that protocols are exclusively designed for static WSN and not for the dynamic. With this comparative analysis authors have proved EEDG is superior to IAR as per as efficiency is concerned, at the same time it has some limitations like Idle listening of sensor nodes and also redundancy removal aspects are not considered. Based on this comparative analytical study authors are going to work on elimination of limitation of EEDG protocol to boost up its efficiency in future by increasing the lifespan of sensor network. (C) 2016 The Authors. Published by Elsevier B.V.
引用
收藏
页码:260 / 266
页数:7
相关论文
共 13 条
[1]  
Almi'ani K, 2010, C LOCAL COMPUT NETW, P582, DOI 10.1109/LCN.2010.5735777
[2]  
[Anonymous], 2012, Introduction to network simulator NS2
[3]   Structure-free data aggregation in sensor networks [J].
Fan, Kai-Wei ;
Liu, Sha ;
Sinha, Prasun .
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2007, 6 (08) :929-942
[4]  
Jayram Bhat Geetalaxmi, 2013, INT J COMPUTER APPL, V66
[5]   An Intelligent Agent-based Routing Structure for Mobile Sinks in WSNs [J].
Kim, Jae-Wan ;
In, Jeong-Sik ;
Hur, Kyeong ;
Kim, Jin-Woo ;
Eom, Doo-Seop .
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS, 2010, 56 (04) :2310-2316
[6]   Coordinated movement of multiple mobile sinks in a wireless sensor network for improved lifetime [J].
Koc, Metin ;
Korpeoglu, Ibrahim .
EURASIP JOURNAL ON WIRELESS COMMUNICATIONS AND NETWORKING, 2015, :1-16
[7]   The impact of data aggregation in wireless sensor networks [J].
Krishnamachari, B ;
Estrin, D ;
Wicker, S .
22ND INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS WORKSHOP, PROCEEDINGS, 2002, :575-578
[8]   Energy-efficient intra-cluster data gathering of wireless sensor networks [J].
Xiang M. ;
Luo Z. ;
Wang P. .
Journal of Networks, 2010, 5 (03) :383-390
[9]  
Puthal Deepak, 2012, IJCST, V1
[10]  
Tubaishat M, 2003, IEEE POTENTIALS, V22, P20, DOI 10.1109/MP.2003.1197877