eprintid: 3831
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/38/31
datestamp: 2023-11-09 15:52:06
lastmod: 2023-11-09 15:52:06
status_changed: 2023-11-09 15:47:43
type: conference_item
metadata_visibility: show
creators_name: Ponnusamy, V.
creators_name: Jung, L.T.
creators_name: Hudaya, A.
title: Mobile data collection in Wireless Sensor Network
ispublished: pub
keywords: Algorithms; Environmental management; Mobile agents; Optimization; Wireless sensor networks, bee analogy; Bio-inspired algorithms; Biologically-inspired; Energy efficient; Environmental Monitoring; Multi-hop routing; Optimization algorithms; Wireless sensor network (WSNs), Sensor nodes
note: cited By 1; Conference of 2013 IEEE 11th Malaysia International Conference on Communications, MICC 2013 ; Conference Date: 26 November 2013 Through 28 November 2013; Conference Code:105163
abstract: Battery powered Wireless Sensor Networks (WSNs) provide critical solutions to a wide range of applications including environmental monitoring, wildlife management, human and object tracking, and surveillance systems. Recharging or replacing batteries is often difficult since sensors are often placed in areas which are difficult to access. Hence this technology requires sensor nodes to be as autonomic as possible. Moreover, multihop routing in WSN causes routing holes and shorter network life time. Biologically-inspired algorithms offer a new paradigm for naturally inspired solutions to problems arising in WSN. Ant routing, bee colonization and bee optimization algorithms have shown outstanding performance for WSN. Most of these bio-inspired algorithms are applied into autonomous networking for self-organization, self-healing, self-management, and others. In this paper, data harvesting from sensor nodes and energy provision in sensor nodes derived from the analogies of bee nectar harvesting and pollination respectively, are proposed with detailed mapping. Simulation and prototype results reveal that the bio-inspired mechanism can be a potential solution. © 2013 IEEE.
date: 2013
publisher: IEEE Computer Society
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901253720&doi=10.1109%2fMICC.2013.6805812&partnerID=40&md5=c8f7099634c08ebb8b23aa890b42f159
id_number: 10.1109/MICC.2013.6805812
full_text_status: none
publication: 2013 IEEE 11th Malaysia International Conference on Communications, MICC 2013
place_of_pub: Kuala Lumpur
pagerange: 128-133
refereed: TRUE
citation:   Ponnusamy, V. and Jung, L.T. and Hudaya, A.  (2013) Mobile data collection in Wireless Sensor Network.  In: UNSPECIFIED.