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Abstract
We propose an energy-based stochastic model of wireless sensor networks (WSNs) where each sensor node is randomly and alternatively in an active and a sleep mode. We first investigate the sensor model and derive the formula of the steady-state probability when there are a number of data packets in different sensor modes. We then determine important sensor’s performance measures in terms of energy consumptions, average data delay and throughput. The novelty of this paper is in its development of a stochastic model in WSN with active/sleep feature and the explicit results obtained for above mentioned energy consumption and performance characteristics. These results are expected to be useful as the fundamental results in the theoretical analysis and design of various hybrid WSNs with power mode consideration.
Highlights
Wireless sensor networks (WSNs) have received more and more attention due to their potential in civil and military applications as well as the advances in micro-electromechanical systems (MEMS) technology [1]
The novelty of this paper is in its development of a stochastic model in wireless sensor networks (WSNs) with active/sleep feature and the explicit results obtained for above mentioned energy consumption and performance characteristics
We investigated several characteristics of active/sleep mode in wireless sensor network (WSN)
Summary
Wireless sensor networks (WSNs) have received more and more attention due to their potential in civil and military applications as well as the advances in micro-electromechanical systems (MEMS) technology [1]. WSNs are composed of a large number of sensors equipped with limited power and radio communication capabilities. They can be deployed in extremely hostile environments, such as battlefield target areas, earthquake disaster scenarios, and inaccessible spaces inside a chemical plant or nuclear facility to monitor environmental changes or other required information. Every component in a node can be in different states; for example, the status of each sensor can be in active, idle, or sleep mode, so the sensor may transmit packets to and receive messages from others. We will concentrate on determining the steady-state probability of data packets in a referenced sensor node and the sensor’s energy consumption and the sensor’s performance characteristics.
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