Evaluating Activator-Inhibitor Mechanisms for Sensors Coordination

被引:0
作者
Neglia, Giovanni [1 ]
Reina, Giuseppe [2 ]
机构
[1] INRIA, Sophia Antipolis, France
[2] Catania Univ, Catania, Italy
来源
2007 2ND BIO-INSPIRED MODELS OF NETWORKS, INFORMATION AND COMPUTING SYSTEMS (BIONETICS) | 2007年
关键词
Sensor networks; sensor coordination; bio-inspired mechanisms; reaction-diffusion models; activator-inhibitor models;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The possibility to employ reaction-diffusion models to build spatial patterns in sensor networks has been advocated in other works. Nevertheless it has not been investigated how the biologically-inspired solutions perform in comparison to more traditional ones taking into account specificities of sensor networks like severe energy constraints. In this paper we present some preliminary results on the comparison between a biologically inspired coordination mechanism based on activator-inhibitor interaction and a simple mechanism, where nodes do not communicate but activate their sensing circuitry according to some probability.
引用
收藏
页码:123 / +
页数:2
相关论文
共 10 条
[1]   Infrastructure for engineered emergence on sensor/actuator networks [J].
Beal, J ;
Bachrach, J .
IEEE INTELLIGENT SYSTEMS, 2006, 21 (02) :10-19
[2]  
Dormann S., 2000, THESIS U OSNABRUCK
[3]   Networking issues in wireless sensor networks [J].
Ganesan, D ;
Cerpa, A ;
Ye, W ;
Yu, Y ;
Zhao, J ;
Estrin, D .
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2004, 64 (07) :799-814
[4]  
Henderson TC, 1998, 1998 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS - PROCEEDINGS, VOLS 1-3, P1377, DOI 10.1109/IROS.1998.724780
[5]  
HILL J, 2000, P ACM ASPLOS NOV, V9, P93
[6]  
Meinhardt H., 1982, Models of biological pattern formation
[7]  
MURRAY JD, MATH BIOL, V18
[8]  
STOYAN D, 1995, STOCHASTIC GEOMETRY, P83
[9]  
AMORPHOUS COMPUTING
[10]  
AMORPHOUS GRAY SCOTT