eprintid: 2832
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/28/32
datestamp: 2023-11-09 15:51:05
lastmod: 2023-11-09 15:51:05
status_changed: 2023-11-09 15:44:22
type: conference_item
metadata_visibility: show
creators_name: Atiq-Ur-Rahman, 
creators_name: Hasbullah, H.
creators_name: Najm-Us-Sama, 
title: Impact of Gaussian deployment strategies on the performance of wireless sensor network
ispublished: pub
keywords: Data delivery; Deployment strategy; Energy depletion; Energy-efficient design; Gaussians; Geographical area; Heavy traffic load; Hole problem; Hotspots; Many-to-one; Multihop transmission; Network lifetime; Node distribution; Residual energy; Time instances; Traffic pattern, Energy efficiency; Energy utilization; Information science; Technology; Wireless sensor networks, Sensor nodes
note: cited By 11; Conference of 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 ; Conference Date: 12 June 2012 Through 14 June 2012; Conference Code:93334
abstract: In this paper, we consider the problem of energy holes and unbalanced energy consumption in many-to-one sensor network due to uniform deployment. Traffic patterns in (M: 1) network, the nodes closer to a sink carry heavy traffic loads via multi-hop transmission. This results, energy depletion within the area at an increased rate and ultimately leads to energy holes around the sink. Such hot-spots are more likely to occur closer to the sink instead of any other geographical area spanned by the network. Formation of energy holes means that data can no longer be delivered to the sink on a certain path and the entire network may dysfunction. We have defined this particular time instance as the total network lifetime. In our proposed deployment strategies the sensor nodes are placed in Gaussian fashion. Our aim is to mitigate the energy hole around the sink. Simulation results shows that the proposed technique maximizes the network lifetime, data delivery, Network energy consumption and minimize the residual energy by reducing the chances of energy-hole formation in the sink's immediate locality. © 2012 IEEE.
date: 2012
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84867885249&doi=10.1109%2fICCISci.2012.6297131&partnerID=40&md5=bf1a688dfc6a4360433ac0e23380ea19
id_number: 10.1109/ICCISci.2012.6297131
full_text_status: none
publication: 2012 International Conference on Computer and Information Science, ICCIS 2012 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2012 - Conference Proceedings
volume: 2
place_of_pub: Kuala Lumpur
pagerange: 771-776
refereed: TRUE
isbn: 9781467319386
citation:   Atiq-Ur-Rahman and Hasbullah, H. and Najm-Us-Sama  (2012) Impact of Gaussian deployment strategies on the performance of wireless sensor network.  In: UNSPECIFIED.