• Home
  • Search
  • Understanding packet delivery performance in dense wireless sensor networks
  • Open Access IconOpen Access
  • Cite Icon516
  • https://doi.org/10.1145/958492.958493Copy DOI Icon

Understanding packet delivery performance in dense wireless sensor networks

  • Jan 1, 2003
  • Jerry Zhao +1 more
Show More
  • Abstract
  • Literature Map
  • Citations
  • Similar Papers
Abstract

Understanding Packet Delivery Performance In Dense Wireless Sensor Networks ∗ Computer Science Department University of Southern California Los Angeles, CA 90089-0781 Jerry Zhao Computer Science Department University of Southern California Los Angeles, CA 90089-0781 Ramesh Govindan zhaoy@usc.edu ABSTRACT Wireless sensor networks promise fine-grain monitoring in a wide variety of environments. Many of these environ- ments (e.g., indoor environments or habitats) can be harsh for wireless communication. From a networking perspec- tive, the most basic aspect of wireless communication is the packet delivery performance: the spatio-temporal charac- teristics of packet loss, and its environmental dependence. These factors will deeply impact the performance of data acquisition from these networks. In this paper, we report on a systematic medium-scale (up to sixty nodes) measurement of packet delivery in three different environments: an indoor office building, a habitat with moderate foliage, and an open parking lot. Our findings have interesting implications for the design and evaluation of routing and medium-access protocols for sensor networks. ramesh@usc.edu spectrum under use, the particular modulation schemes un- der use, and possibly on the communicating devices them- selves. Communication quality can vary dramatically over time, and has been reputed to change with slight spatial displacements. All of these are true to a greater degree for ad-hoc (or infrastructure-less) communication than for wire- less communication to a base station. Given this, and the paucity of large-scale deployments, it is perhaps not surpris- ing that there have been no medium to large-scale measure- ments of ad-hoc wireless systems; one expects measurement studies to reveal high variability in performance, and one suspects that such studies will be non-representative. Wireless sensor networks [5, 7] are predicted on ad-hoc wireless communications. Perhaps more than other ad-hoc wireless systems, these networks can expect highly variable wireless communication. They will be deployed in harsh, inaccessible, environments which, almost by definition will exhibit significant multi-path communication. Many of the current sensor platforms use low-power radios which do not have enough frequency diversity to reject multi-path prop- agation. Finally, these networks will be fairly densely de- ployed (on the order of tens of nodes within communica- tion range). Given the potential impact of these networks, and despite the anecdotal evidence of variability in wireless communication, we argue that it is imperative that we get a quantitative understanding of wireless communication in sensor networks, however imperfect. Our paper is a first attempt at this. Using up to 60 Mica motes, we systematically evaluate the most basic aspect of wireless communication in a sensor network: packet delivery. Particularly for energy-constrained networks, packet de- livery performance is important, since that translates to net- work lifetime. Sensor networks are predicated using low- power RF transceivers in a multi-hop fashion. Multiple short hops can be more energy-efficient than one single hop over a long range link. Poor cumulative packet delivery per- formance across multiple hops may degrade performance of data transport and expend significant energy. Depending on the kind of application, it might significantly undermine application-level performance. Finally, understanding the dynamic range of packet delivery performance (and the ex- tent, and time-varying nature of this performance) is impor- tant for evaluating almost all sensor network communication protocols. We study packet delivery performance at two layers of the communication stack (Section 3). At the physical-layer and in the absence of interfering transmissions, packet de- Categories and Subject Descriptors C.2.1 [Network Architecture and Design]: Wireless communication; C.4 [Performance of Systems]: Perfor- mance attributes, Measurement techniques General Terms Measurement, Experimentation Keywords Low power radio, Packet loss, Performance measurement 1. INTRODUCTION Wireless communication has the reputation of being no- toriously unpredictable. The quality of wireless communica- tion depends on the environment, the part of the frequency ∗ This work is supported in part by NSF grant CCR-0121778 for the Center for Embedded Systems. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. SenSys’03, November 5–7, 2003, Los Angeles, California, USA. Copyright 2003 ACM 1-58113-707-9/03/0011 ... $ 5.00.

Similar Papers
  • Conference Article
  • Citations3

Research on reliable link layer communication in wireless sensor-networks

  • May 27, 2005
  • Jun Wang +2
  • Research Article
  • Citations5

A novel DEA-OR algorithm for route failure recovery in dense wireless sensor networks

  • Mar 31, 2018
  • Cluster Computing
  • M Jayekumar +1
  • Research Article
  • Citations22

Efficient coding techniques algorithm for cluster-heads communication in wireless sensor networks

  • Sep 22, 2017
  • AEU - International Journal of Electronics and Communications
  • El Miloud Ar-Reyouchi +4
  • Research Article
  • Citations6

Directed complete bipartite graph decompositions: Indirect constructions

  • Jun 02, 2007
  • Discrete Mathematics
  • Peter J Dukes +2
  • Research Article
  • Citations57

Minimum power configuration for wireless communication in sensor networks

  • Jun 01, 2007
  • ACM Transactions on Sensor Networks
  • Guoliang Xing +4
  • Research Article
  • Citations20

Cross‐layer design for energy efficient communication in wireless sensor networks

  • Feb 28, 2008
  • Wireless Communications and Mobile Computing
  • Xiao‐Hui Lin +2
  • Conference Article
  • Citations25

Group Rekeying Schemes for Secure Group Communication in Wireless Sensor Networks

  • Jun 01, 2007
  • Y Wang +1
  • Conference Article
  • Citations1

An ACO/MAS joint approach to manage communications in wireless sensor networks

  • Oct 27, 2009
  • Nacer Hamani +3
  • Conference Article
  • Citations40

BCH coding and multi-hop communication in wireless sensor networks

  • Jan 01, 2006
  • Z.H Kashani +1
  • Conference Article
  • Citations5

Energy & reliability optimal MAC for WSNs

  • Apr 01, 2014
  • Eoin O'Connell +2
  • Research Article
  • Citations17

Process for evaluating the data transfer performance of wireless traffic sensors for real‐time intelligent transportation systems applications

  • Oct 11, 2016
  • IET Intelligent Transport Systems
  • Yan Zhou +3
  • Conference Article
  • Citations85

DTSN: Distributed Transport for Sensor Networks

  • Jul 01, 2007
  • Proceedings - IEEE Symposium on Computers and Communications/IEEE Symposium on Computers and Communications
  • Bruno Marchi +2
  • Research Article
  • Citations2

Reliable context capturing for smart offices using a sensor network

  • Jan 01, 2011
  • International Journal of Ad Hoc and Ubiquitous Computing
  • Hiroto Aida +2
  • Research Article
  • Citations4

Lightweight Trusted ID-Based Signcryption Scheme for Wireless Sensor Networks

  • Jan 01, 2012
  • International Journal on Smart Sensing and Intelligent Systems
  • Zhimin Li +2
  • Conference Article
  • Citations57

Congestion control and fairness in wireless sensor networks

  • Mar 01, 2010
  • Swastik Brahma +2
Cactus Communications logo

Copyright 2026 Cactus Communications. All rights reserved.