Javascript must be enabled to continue!
On the lifetime of wireless sensor networks
View through CrossRef
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.
Association for Computing Machinery (ACM)
Title: On the lifetime of wireless sensor networks
Description:
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.
Related Results
ACM SIGCOMM computer communication review
ACM SIGCOMM computer communication review
At some point in the future, how far out we do not exactly know, wireless access to the Internet will outstrip all other forms of access bringing the freedom of mobility to the way...
Dynamic stochastic modeling for inertial sensors
Dynamic stochastic modeling for inertial sensors
Es ampliamente conocido que los modelos de error para sensores inerciales tienen dos componentes: El primero es un componente determinista que normalmente es calibrado por el fabri...
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Design of multi-energy-space-based energy-efficient algorithm in novel software-defined wireless sensor networks
Energy efficiency has always been a hot issue in wireless sensor networks. A lot of energy-efficient algorithms have been proposed to reduce energy consumption in traditional wirel...
Routing Security in Wireless Sensor Networks
Routing Security in Wireless Sensor Networks
Since routing is a fundamental operation in all types of networks, ensuring routing security is a necessary requirement to guarantee the success of routing operation. Securing rout...
Cross-layer security solution for secure communication of sensorsin Wireless Sensor Networks
Cross-layer security solution for secure communication of sensorsin Wireless Sensor Networks
Safe path-finding is extremely necessary for multihop wireless systems such as Wireless Sensor Networks. Multihop wireless systems are more unprotected to safety outbreaks as ass...
ALGORITHMS FOR SYNTHESIS OF FUNCTIONALLY STABLE WIRELESS SENSOR NETWORK
ALGORITHMS FOR SYNTHESIS OF FUNCTIONALLY STABLE WIRELESS SENSOR NETWORK
Research objective. Development of algorithms that allow to implement the synthesis of a functionally stable wireless sensor network. Subject of research. Wireless sensor networks,...
Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products
Wireless Networks of Smart Multisensors and Biosensor Devices for Express Diagnostics of the State of Grape and Fruit-Berry Crops and Quality Control of Winemaking Products
The application of information and wireless technologies, multisensor and biosensor devices, as well as sensor networks based on them to control the parameters of technological pro...
Optimal Energy Resources Allocation Method of Wireless Sensor Networks for Intelligent Railway Systems
Optimal Energy Resources Allocation Method of Wireless Sensor Networks for Intelligent Railway Systems
The rapid increase of train speed has brought greater challenges to the safety and reliability of railway systems. Therefore, it is necessary to monitor the operation status of tra...

