Minimum power configuration in wireless sensor networks

Abstract

This paper proposes the minimum power configuration (MPC) approach to energy conservation in wireless sensor networks. In sharp contrast to earlier research that treats topology control, power-aware routing, and sleep management in isolation, MPC integrates them as a joint optimization problem in which the power configuration of a network consists of a set of active nodes and the transmission powers of the nodes. We show through analysis that the minimum power configuration of a network is inherently dependent on the data rates of sources. We propose several approximation algorithms with provable performance bounds compared to the optimal solution, and a practical Minimum Power Configuration Protocol (MPCP) that can dynamically (re)configure a network to minimize the energy consumption based on current data rates. Simulations based on realistic radio models of the Mica2 motes show that MPCP can conserve significantly more energy than existing minimum power routing and topology control protocols.

Simultaneous power control and power management algorithm with sector-shaped topology for wireless sensor networks

“…There are two basic approaches, namely, scheduling-based [17], [18] and backbone-based sleep management [13,20]. In [28], a systematic and comprehensive survey of the power management schemes is presented.…”

“…From another aspect, the techniques may be divided based on the dimension that they use for the power management. The dimensions include node (e.g., [29]) or time (e.g., [13,20]). The approaches based on the node dimension, such as geographical adaptive fidelity (GAF) [29], mainly focus on detecting redundant nodes which can be turned off.…”

“…The sleeping nodes periodically switch to the listen mode to guarantee that in each grid at least one node stays on. The algorithms based on the time dimension concentrate only on detecting the time when the nodes are idle and can be turned off [13,20]. In SPAN [13], a subset of nodes is adaptively selected to form a multi-hop forwarding backbone.…”

“…The energy is comparable to the energy consumed in the other two modes. To reduce the energy consumption, the radio of the nodes in this mode may be turned off when they are not in use [17][18][19][20]. Turning off the radios when they are not in use is the basic idea of power management algorithms.…”

Energy-Efficient Self-Organization of Wireless Acoustic Sensor Networks for Ground Target Tracking

“…Xing et al [79] proposed minimum power configuration (MPC) approach, a cross layer approach to the power conservation in wireless sensor networks. In this approach, the power management considers combination of topology control, energy aware routing as well as sleep management, thus combining the information and functions from different networking layers to achieve effective power management.…”