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

Abstract

In this paper, we propose a topology control technique to reduce the energy consumption of wireless sensor networks (WSNs). The technique makes use of both power control and power management methods. The algorithm uses the power management technique to put as many idle nodes as possible into the sleep mode while invoking the power control method to adjust the transmission range of the active nodes. On the contrary to earlier works in which both of these methods were used separately, in this algorithm, they are utilized simultaneously to decide about the sleep nodes and the ranges of active nodes. It is an approximation algorithm which is called simultaneous power control and power management algorithm (SPCPM). The performance bound of this centralized algorithm is determined analytically. Then, to make the proposed method practical for WSNs, a distributed algorithm based on SPCPM is introduced. To assess the efficiency of the proposed algorithm, we compare its average energy consumption with those of three existing topology control algorithms for a sector-based WSN. The simulation results which were obtained for different numbers of transmitting sensor nodes reveal less average energy consumptions for SPCPM compared to other algorithms.

Investigating Transmission Power Control Strategy for Underwater Wireless Sensor Networks

“…Chincoli et al [15] have presented a self-learning power control system for WSN. A topology control technique for efficient energy consumption is proposed in [16] based on power management and power control. A dynamic power management technique to enhance energy efficiency is discussed in [17].…”

Distributed energy-efficient clustering routing protocol for wireless sensor networks using affinity propagation and fuzzy logic

“…However, a fixed cluster number is usually adopted to form clusters in fuzzy logic based clustering approaches and a next single-hop CH is found to forward data to the BS in fuzzy logic based routing approaches, which is almost impossible to form the optimal topology with clusters and to obtain the minimum inter-cluster energy consumption. Moreover, affinity propagation (AP) has been validated to be capable of forming uniform clusters without specifying the cluster number in advance (Wang J et al2019), and a next CH finding based on the transmitted data length according to hop count also has been verified to further reduce the inter-cluster energy consumption (Nickreay M 2015).…”

Design of an efficient solar energy harvesting system for wireless power communication

“…One of the obstructions which hinders the usage of these technologies is their limited battery lifetimes. In addition, implementing power control algorithms and topologies on WSNs, IoT, and other wireless devices aimed at reducing the power consumption of the amplifier circuit often sacrifices the performance of the systems 4 . Hence, a sustainable power supply with high efficiency is imperative to extend the battery life of these devices.…”

“…In addition, implementing power control algorithms and topologies on WSNs, IoT, and other wireless devices aimed at reducing the power consumption of the amplifier circuit often sacrifices the performance of the systems. 4 Hence, a sustainable power supply with high efficiency is imperative to extend the battery life of these devices. This could be achieved by using self-sustainable and lowcost energy harvesting (EH) systems.…”