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Journal ArticleDOI

On the lifetime of wireless sensor networks

TLDR
This survey was the starting point for a generic definition of sensor network lifetime for use in analytic evaluations as well as in simulation models—focusing on a formal and concise definition of accumulated network lifetime and total network lifetime.
Abstract
Network lifetime has become the key characteristic for evaluating sensor networks in an application-specific way. Especially the availability of nodes, the sensor coverage, and the connectivity have been included in discussions on network lifetime. Even quality of service measures can be reduced to lifetime considerations. A great number of algorithms and methods were proposed to increase the lifetime of a sensor network—while their evaluations were always based on a particular definition of network lifetime. Motivated by the great differences in existing definitions of sensor network lifetime that are used in relevant publications, we reviewed the state of the art in lifetime definitions, their differences, advantages, and limitations. This survey was the starting point for our work towards a generic definition of sensor network lifetime for use in analytic evaluations as well as in simulation models—focusing on a formal and concise definition of accumulated network lifetime and total network lifetime. Our definition incorporates the components of existing lifetime definitions, and introduces some additional measures. One new concept is the ability to express the service disruption tolerance of a network. Another new concept is the notion of time-integration: in many cases, it is sufficient if a requirement is fulfilled over a certain period of time, instead of at every point in time. In addition, we combine coverage and connectivity to form a single requirement called connected coverage. We show that connected coverage is different from requiring noncombined coverage and connectivity. Finally, our definition also supports the concept of graceful degradation by providing means of estimating the degree of compliance with the application requirements. We demonstrate the applicability of our definition based on the surveyed lifetime definitions as well as using some example scenarios to explain the various aspects influencing sensor network lifetime.

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Citations
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Proceedings ArticleDOI

Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges

TL;DR: The availability of data at hitherto unimagined scales and temporal longitudes coupled with a new generation of intelligent processing algorithms can facilitate an evolution in the practice of medicine and help reduce the cost of health care while simultaneously improving outcomes.
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Design of a WSN Platform for Long-Term Environmental Monitoring for IoT Applications

TL;DR: This paper presents the functional design and implementation of a complete WSN platform that can be used for a range of long-term environmental monitoring IoT applications and considers low-effort platform reuse for a wide array of related monitoring applications.
Journal ArticleDOI

A survey of network lifetime maximization techniques in wireless sensor networks

TL;DR: The family of NL maximization techniques is introduced, the portrayal of rich variety definitions of NL design objective used for WSNs, and some design guidelines with examples are provided to show the potential improvements of the different design criteria.
Journal ArticleDOI

Energy efficient clustering and routing algorithms for wireless sensor networks: Particle swarm optimization approach

TL;DR: This paper presents Linear/Nonlinear Programming (LP/NLP) formulations of these problems followed by two proposed algorithms for the same based on particle swarm optimization (PSO) followed by results compared with the existing algorithms to demonstrate their superiority.
Journal ArticleDOI

Making sensor networks immortal: an energy-renewal approach with wireless power transfer

TL;DR: This paper investigates the operation of a sensor network under this new enabling energy transfer technology, and proves that the optimal traveling path for the WCV is the shortest Hamiltonian cycle and provide a number of important properties.
References
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Journal ArticleDOI

Wireless sensor networks: a survey

TL;DR: The concept of sensor networks which has been made viable by the convergence of micro-electro-mechanical systems technology, wireless communications and digital electronics is described.
Journal ArticleDOI

A survey on sensor networks

TL;DR: The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections.
Journal ArticleDOI

A survey on routing protocols for wireless sensor networks

TL;DR: The three main categories explored in this paper are data-centric, hierarchical and location-based; each routing protocol is described and discussed under the appropriate category.
Journal ArticleDOI

Sensor networks: evolution, opportunities, and challenges

TL;DR: The history of research in sensor networks over the past three decades is traced, including two important programs of the Defense Advanced Research Projects Agency (DARPA) spanning this period: the Distributed Sensor Networks (DSN) and the Sensor Information Technology (SensIT) programs.
Proceedings ArticleDOI

Next century challenges: scalable coordination in sensor networks

TL;DR: This paper believes that localized algorithms (in which simple local node behavior achieves a desired global objective) may be necessary for sensor network coordination.
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