Lifetime Optimization of an Indoor Surveillance Sensor Network Using Adaptive Energy-Efficient Transmission

Abstract

An indoor surveillance system is proposed and carried out in this paper. The surveillance system consists of a home server, omnirobots, and static monitoring nodes. The omnirobots and static monitoring nodes form a surveillance sensor network which comprises several star-like wireless sensor networks. The static monitoring nodes sleep periodically and can be woken up by the pyroelectric infrared sensor. If an abnormal event happens, the static monitoring node will capture images and produce alert messages. An adaptive energy-efficient transmission method is proposed to prolong and balance the lifetime of each static monitoring node. The static monitoring nodes can adjust their transmission power according to the distance to the omnirobots. Meanwhile, the omnirobots can also adjust their positions to extend the lifetime of the surveillance sensor network. Experimental results demonstrate that the transmission power of the static monitoring nodes is minimized sufficiently. A 160 × 120 image can be transmitted within 2.1 s in the surveillance sensor network. The energy consumption of transmitting images without transmission security mechanism reduces by 21%. And it saves 11.7% of energy that an image is transmitted with the lowest transmission power. The surveillance sensor network can be conscious of the node loss and self-recovers timely.

A Dempster‐Shafer theory and uninorm‐based framework of reasoning and multiattribute decision‐making for surveillance system

“…Due to the increasing threats of terroristic and criminal behaviors in the present world, researchers have developed lots of intelligent surveillance systems, such as suspect object tracking, intrusion detection, indoor security systems, traffic safety analysis, antisocial behavior analysis, and so on. The primary aim of these studies is to develop security system that can detect and predict the potential threats of objects being watched according to a large collection of meaningful events that are derived from sensory data of dispersed sources.…”

Energy Efficient Doppler Assisted Channel Estimation for Highly Mobile OFDM Systems

“…On the other hand, circuit energy also plays an important role in the lifetime of the battery operated nodes. Therefore, many authors [9][10][11][12][13][14][15][16] have considered circuit energy while assessing the energy efficiency of different schemes. The solutions discussed above only consider the transmission energy and do not take into account the circuit energy.…”