Dorigo, M., Birattari, M. and Stutzle, T. (2006) Ant Colony Optimization. Published in IRIDIA, Institut de Recherches Interdisciplinaires et de D’eveloppements en Intelligence Artificielle UNIVERSITE’ LIBRE DE BRUXELLES Av F. D. Roosevelt 50, CP 194/6 1050 Bruxelles, Belgium.

has been cited by the following article:

• TITLE: Optimizing Inter Cluster Ant Colony Optimization Data Aggregation Algorithm with Rendezvous Nodes and Mobile Sink

  AUTHORS: Annu Ghotra

  KEYWORDS: WSN, Clustering, ACO Ant Colony Optimization, MS Mobile Sink, RP Rendezvous Point

  JOURNAL NAME: Wireless Sensor Network, Vol.9 No.1, January 23, 2017

  ABSTRACT: Energy conservation is becoming the main critical issue in wireless sensor network and also the main research area for most of the researchers. For improving the energy efficiency, sink mobility is used with constrain path in wireless sensor network. In order to solve these optimization problems, inter cluster Ant Colony Optimization Algorithm (ACO) is used with mobile sink (MS) and rendezvous nodes (RN). The proposed algorithm will improve 30% more network lifetime than the existing algorithm and prompts high accurate delivery of packets in highly dense network. a