Simple Semi-Distributed Lifetime Maximizing Strategy via Power Allocation in Collaborative Beamforming for Wireless Sensor Networks

TL;DR

This paper proposes a semi-distributed power allocation strategy for collaborative beamforming in wireless sensor networks, which extends network lifetime by balancing energy consumption based on residual energy information.

Contribution

It introduces a novel energy-aware power allocation scheme that dynamically adjusts sensor node energy use to prolong network lifetime, outperforming equal power allocation methods.

Findings

CB-PA extends sensor network lifetime more effectively than CB-EPA.

The strategy maintains average SNR while balancing energy consumption.

Simulation results confirm improved lifetime extension.

Abstract

Energy-efficient communication is an important issue in wireless sensor networks (WSNs) consisting of large number of energy-constrained sensor nodes. Indeed, sensor nodes have different energy budgets assigned to data transmission at individual nodes. Therefore, without energy-aware transmission schemes, energy can deplete from sensor nodes with smaller energy budget faster than from the rest of the sensor nodes in WSNs. This reduces the coverage area as well as the lifetime of WSNs. Collaborative beamforming (CB) has been proposed originally to achieve directional gain, however, it also inherently distributes the corresponding energy consumption over the collaborative sensor nodes. In fact, CB can be seen as a physical layer solution (versus the media access control/network layer solution) to balance the lifetimes of individual sensor nodes and extend the lifetime of the whole WSN. However, the introduction of energy-aware CB schemes is critical for extending the WSNs lifetime. In this paper, CB with power allocation (CB-PA) is developed to extend the lifetime of a cluster of collaborative sensor nodes by balancing the individual sensor node lifetimes. A novel strategy is proposed to utilize the residual energy information available at each sensor node. It adjusts the energy consumption rate at each sensor node while achieving the required average signal-to-noise ratio (SNR) at the destination. It is a semi-distributed strategy and it maintains average SNR. Different factors affecting the energy consumption are studied as well. Simulation results show that CB-PA outperforms CB with Equal Power Allocation (CB-EPA) in terms of extending the lifetime of a cluster of collaborative nodes.