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Modeling Energy Consumption and Lifetime of a Wireless Sensor Node Operating on a Contention-Based MAC Protocol
- Source :
- IEEE Sensors Journal. 17:5153-5168
- Publication Year :
- 2017
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2017.
-
Abstract
- Sensor nodes are small and low-cost portable devices that are connected wirelessly to form a wireless sensor network. Sensor nodes are typically powered by a chemical battery source that has a load-dependent finite lifetime. Most applications require wireless sensor networks to operate reliably for an extended period of time beginning with their deployment. To ensure both the longevity of a wireless sensor network via power management techniques and development of a self-powered sensor node, it is important to understand a sensor node’s operational energy consumption. It is well understood that wireless sensor network lifetime has a strong functional dependence on sensor node lifetime. This paper presents the development of a stochastic model to capture the expected energy consumption of a schedule-driven sensor node per cycle of operation by utilizing renewal theory, random stopping criteria, and Wald’s inequality. The model captures the expected energy consumed due to generic operation of a schedule-driven sensor node when an external event occurs (i.e., node level activities) and energy consumed due to carrier sense multiple access/collision avoidance medium access control protocol (i.e., retransmission attempts, channel listening, and other network level activities). The stochastic energy model is used to compute the expected lifetime and cycle lifetime of the sensor node. This paper also computes the deterministic energy bounds corresponding to the minimum and maximum energy consumption of a sensor node per cycle of operation. Analytical and numerical model validations are performed and presented.
- Subjects :
- Engineering
Brooks–Iyengar algorithm
Hidden node problem
business.industry
Retransmission
010401 analytical chemistry
Real-time computing
020206 networking & telecommunications
02 engineering and technology
Energy consumption
01 natural sciences
0104 chemical sciences
Key distribution in wireless sensor networks
Sensor node
Computer Science::Networking and Internet Architecture
0202 electrical engineering, electronic engineering, information engineering
Mobile wireless sensor network
Electrical and Electronic Engineering
business
Instrumentation
Wireless sensor network
Computer network
Subjects
Details
- ISSN :
- 23799153 and 1530437X
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- IEEE Sensors Journal
- Accession number :
- edsair.doi...........089dbe91ccb01e6c09fb39f90b3f6681
- Full Text :
- https://doi.org/10.1109/jsen.2017.2722462