Design guidelines for wireless sensor networks: communication, clustering and aggregation

@article{Mhatre2004DesignGF,
  title={Design guidelines for wireless sensor networks: communication, clustering and aggregation},
  author={Vivek P. Mhatre and Catherine P. Rosenberg},
  journal={Ad Hoc Networks},
  year={2004},
  volume={2},
  pages={45-63}
}

Figures and Tables from this paper

Optimal transmission range for cluster-based wireless sensor networks with mixed communication modes
  • H. Su, Xi Zhang
  • Computer Science
    2006 International Symposium on a World of Wireless, Mobile and Multimedia Networks(WoWMoM'06)
  • 2006
TLDR
This work considers a heterogeneous cluster-based WSN, which consists of two types of nodes: powerful cluster-heads and basic sensor nodes, and derives the optimal communication range and identifies the optimal mixed communication mode to maximize the WSN's lifetime through optimizations.
Hybrid Communication Method for Data Gathering in Wireless Sensor Networks
TLDR
This paper develops an analytical model to derive the optimal cluster radius and proposes a hybrid communication method where the nodes can transmit data to the sink in either single-hop or multi-hop.
Network Lifetime Optimization for Heterogeneous Sensor Networks With Mixed Communication Modes
  • H. Su, Xi Zhang
  • Computer Science
    2007 IEEE Wireless Communications and Networking Conference
  • 2007
TLDR
The analytical models to derive the optimal communication range and identify the optimal mixed communication modes to maximize the span of WSN's lifetime are developed.
Design Challenges for Optimizing the Performance of Energy Constrained Wireless Sensor Networks
  • L. Jayashree, S. Arumugam
  • Computer Science
    2007 International Conference on Signal Processing, Communications and Networking
  • 2007
TLDR
The design issues to be considered in optimizing the performance of large-scale wireless sensor networks operating under energy and reliability constraints are outlined and a model to calculate the optimum number of clusters to guarantee a minimum lifetime is provided.
Multi-Hop Data Communication Algorithm for Clustered Wireless Sensor Networks
TLDR
Simulation results show that proposed algorithm efficiently mitigates the hot spot problem in heterogeneous WSN and achieves much improvement in network lifetime and load balance compared to the existing algorithms.
Performance optimization in structured wireless sensor networks
TLDR
This paper analyzes the impact of ring density and data aggregation on energy consumption and transfer time and finds an optimum structure consisting of a certain number of rings, whereby the sensor network operates with low consumption of energy and little transfer time.
An Uniform Cluster-Based Routing Protocol for Wireless Sensor Networks
TLDR
A hybrid communication mode in which nodes alternate between single hop and multi-hop mode with certain time proposed based on even cluster protocol verifies that hybrid mode provides the better energy efficiency as well as evener energy dissipation.
A Clustering Mechanism with Various Cluster Sizes for the Sensor Network
TLDR
A new dynamic-size multi-hop clustering mechanism in which the cluster size is adjusted according to the information on the load and the residual energy of a CH and that of other nodes near to the CH.
A Distributed Energy Balance Clustering Protocol for Heterogeneous Wireless Sensor Networks
  • Changmin Duan, Hong Fan
  • Computer Science
    2007 International Conference on Wireless Communications, Networking and Mobile Computing
  • 2007
TLDR
Simulation result shows that the proposed DEBC protocol provides longer lifetime than the existing clustering protocol and uses the best of energy in heterogeneous network.
Distance-based Stable Election Protocol (DB-SEP) for Heterogeneous Wireless Sensor Network
TLDR
This paper proposes a new approach called (DB-SEP) which cluster heads are selected on the basis of their initial energy and their distances between them and the sink, which performs better than the other distributed clustering protocols such as SEP in terms of energy efficiency and lifetime of the network.
...
...

References

SHOWING 1-10 OF 16 REFERENCES
An energy efficient hierarchical clustering algorithm for wireless sensor networks
  • S. Bandyopadhyay, E. Coyle
  • Computer Science
    IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428)
  • 2003
TLDR
This paper proposes a distributed, randomized clustering algorithm to organize the sensors in a wireless sensor network into clusters, and extends this algorithm to generate a hierarchy of clusterheads and observes that the energy savings increase with the number of levels in the hierarchy.
An application-specific protocol architecture for wireless microsensor networks
TLDR
This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
PEGASIS: Power-efficient gathering in sensor information systems
TLDR
PEGASIS (power-efficient gathering in sensor information systems), a near optimal chain-based protocol that is an improvement over LEACH, is proposed, where each node communicates only with a close neighbor and takes turns transmitting to the base station, thus reducing the amount of energy spent per round.
Critical Power for Asymptotic Connectivity in Wireless Networks
In wireless data networks each transmitter's power needs to be high enough to reach the intended receivers, while generating minimum interference on other receivers sharing the same channel. In
Bounding the lifetime of sensor networks via optimal role assignments
  • Manish Bhardwaj, A. Chandrakasan
  • Computer Science
    Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies
  • 2002
TLDR
The fundamental limits of energy-efficient collaborative data-gathering are explored by deriving upper bounds on the lifetime of increasingly sophisticated sensor networks.
Upper bounds on the lifetime of sensor networks
TLDR
It is shown that in all data gathering scenarios presented, there exist networks which achieve lifetimes equal to or >95% of the derived bounds, depending on the scenario, and bounds are either tight or near-tight.
Wireless sensor networks: a survey
Wireless integrated network sensors
TLDR
The WINS network represents a new monitoring and control capability for applications in such industries as transportation, manufacturing, health care, environmental oversight, and safety and security, and opportunities depend on development of a scalable, low-cost, sensor-network architecture.
Stochastic Analysis
TLDR
These are lecture notes from the lessons given in the fall 2010 at Harvard University, based on distinct references, and Chapter 3 is adapted from the remarkable lecture notes by Jean François Le Gall, in French.
An Introduction to Optimization
  • E. Chong, S. Żak
  • Computer Science
    IEEE Antennas and Propagation Magazine
  • 1996
TLDR
An Introduction to Optimization, Second Edition helps students build a solid working knowledge of the field, including unconstrained optimization, linear programming, and constrained optimization.
...
...