Abstract
In wireless sensor networks (WSNs), target coverage is an important issue which aims at finding a set of sensors to monitor the targets for maximizing both the surveillance quality and network lifetime. However, most of them assumed that each sensor is battery powered and the Boolean Sensing Model (BSM) is applied. Sensors powered by battery have a limited lifetime while the BSM is difficult to reflect the physical features of sensing. This paper proposes target coverage mechanisms, called C-MMQT and D-MMQT , which consider the solar-powered sensors and allows the battery to be recharged for maintaining the perpetual lifetime of sensor networks. The proposed mechanisms apply the Probabilistic Sensing Model (PSM) and consider that different targets have different importance. Two challenges have been overcome in this paper. First, each sensor is well scheduled for switching between recharging and working states for maintaining its perpetual lifetime since its battery is solar powered. Second, the sensors that are able to monitor the common target are well scheduled for cooperative sensing to maximize the surveillance quality since PSM is applied. Two efficient sensor schedules are proposed to maximize the surveillance quality of the bottleneck target which has the lowest surveillance quality. Performance study shows that the proposed mechanisms outperform the existing mechanisms in terms of Quality of Monitoring, Average utility, Fairness and Efficiency index.
Highlights
Wireless sensor networks (WSNs) are composed of many sensor nodes that are randomly deployed in the monitoring area
In WSNs, the target coverage problem is one of the most important issues where sensors are responsible for monitoring the important targets and reporting if any suspicious event occurs near these targets
This occurs because the proposed C-MMQT considers the QoM of each point of interests (POIs), which accurately evaluates the quality of monitoring of all the POIs in all the time slots
Summary
Wireless sensor networks (WSNs) are composed of many sensor nodes that are randomly deployed in the monitoring area. To achieve the perpetual lifetime of sensor networks, recent studies [6]–[15] proposed battery charging technologies. In literature, these studies can be further classified into two categories: wireless energy transferring and environmental energy harvesting technologies. To avoid the hardware cost for the replacement of battery and the energy consumption of wireless power transmitters, this paper investigates the target coverage issue for the solarpowered sensor networks. MAINTAINING THE PERPETUAL NETWORK LIFETIME The proposed MMQT mechanisms consider the working and recharging schedules for maintaining their perpetual lifetime This strategy further guarantees that the recharged energy of each sensor satisfies the required energy for working operations in each cycle.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
