Sleep in the Dins: Insomnia therapy for duty-cycled sensor networks

Abstract

Abstract-Duty cycling mode is widely adopted in wireless sensor networks to save energy. Existing duty-cycling protocols cannot well adapt to different data rates and dynamics, resulting in a high energy consumption in real networks. Improving those protocols may require global information or heavy computation and thus may not be practical, leading to empirical parameters in real protocols. To fill the gap between the application requirement and protocol performance, we design a light-weight adaptive duty-cycling protocol (LAD), which reduces the energy consumption under different data rates and protocol dynamics. We theoretically validate the performance improvement of the protocol. We implement the protocol in TinyOS and extensively evaluate it on 40 TelosB nodes. The evaluation results show the energy consumption can be reduced by 28.2%∼40.1% compared with state-of-the-art protocols. Results based on data from a 1200-node operational network further show the effectiveness and scalability of the design.

Optimal sleep time controller based on traffic prediction and residual energy in duty-cycled wireless sensor networks

“…In recent years, many research works have been explored to develop power-saving methods for WSNs. 4,11,[13][14][15][16][17][18][19][20] Traditional best-path energy-efficient routing protocols 2,15,16 are proposed to find minimum energy path from source node to destination to optimize energy consumption. These protocols require additional route maintenance and topology information of whole network, which may cause excessive control message cost.…”

“…Besides, energy efficiency is also considered in MAC protocols. 4,11,13,14,[18][19][20] Sensor MAC (SMAC) 11 periodically puts nodes in active and sleep periods. The duty cycle is set to a low value of all nodes, so it does not adapt to network traffic change.…”

A Novel Approximation for Multi-hop Connected Clustering Problem in Wireless Sensor Networks

“…In these applications, the task of each sensor is to collect the information in its surrounding environment and transmit the corresponding data to the base stations of WSNs. Over the past decades, a lot of related researches have studied data gathering and transmission problems [1]- [7].…”

Hunting The Hunters: Wildlife Monitoring System

“…Wang et al [104] proposed an off-line data-driven MAC protocol which is initialized by fixed duty-cycle duration for different packet rates as required by specific scenarios. For every packet arrival rate, it sets a specific duty-cycle duration and transmission power level.…”

“…These information is stored locally in a table, based on which every sensor node autonomously selects its duty-cycle at run-time. This procedure is not suitable for a network which experiences high trend of topology dynamics [104]. Likewise, Ayele et al [101] suggested a theoretic control model to determine the optimal duty-cycle in a wireless sensor network.…”