ECOSENSE: An Energy Consumption Protocol for Wireless Sensor Networks

AbstractThis paper ‘ECOSENSE’ proposes a medium access protocol derived for wireless sensor networks. Energy is a precious resource for wireless sensor networks, as sensor nodes are powered by small batteries. Various approaches have been proposed so far, to increase the life of wireless sensor networks. With the goal of developing a practical, efficient energy consumption protocol for wireless sensor networks, we introduced a threshold policy for the nodes in the entire network, where the sensors are distributed activated, whenever they are required. We calculated the life period of sensors and using priority levels and threshold values, we prolong the lifespan of sensor nodes. Scheduling is done according to the remaining life period of sensor nodes. We compare our algorithm with the existing S-MAC protocol and found considerably better due to its reconfigurable activation policy

End-to-end performance characteristics in energy-aware wireless sensor networks

In this paper, we study end-to-end performance character-istics of S-MAC, an energy-aware medium access control (MAC) protocol for wireless sensor networks (WSN). WSNs are composed of battery-driven communication entities. In order to complete a given task, all sensor nodes, which are deployed in an ad-hoc fashion, have to collaborate by ex-changing and forwarding measurement data. S-MAC was proposed to provide an energy-efficient MAC protocol for wireless sensor networks. It provides similar features like traditional protocols such as IEEE 802.11. Additionally, new mechanisms were added to allow self-configuration and more energy conservation. The most prominent novel fea-ture is adaptive listening. In this paper, we provide fur-ther insight into the behavior of adaptive listening. As op-posed to transient experiments on hardware, we study an S-MAC implementation – adapted from an existing one – in the network simulator ns-2. We evaluate the steady-state S-MAC performance in multiple simulations, where we ap-ply simulation control techniques. End-to-end performance characteristics, like end-to-end delays and their jitter, are investigated under different load conditions on a multi-hop network. From our results, we conclude that end-to-end be-havior in these networks may be very sensitive to load and other conditions and that careful measurements have to be made to ensure a good operating point for WSNs