Balanced-energy sleep scheduling scheme for high-density cluster-based sensor networks

Abstract

Abstract-In order to conserve battery power in very dense sensor networks, some sensor nodes may be put into the sleep state while other sensor nodes remain active for the sensing and communication tasks. However, determining which of the sensor nodes should be put into the sleep state is non-trivial. As the goal of allowing nodes to sleep is to extend network lifetime, we propose and analyze a Balanced-energy Scheduling (BS) scheme in the context of cluster-based sensor networks. The BS scheme aims to evenly distribute the energy load of the sensing and communication tasks among all the nodes in the cluster, thereby extending the time until the cluster can no longer provide adequate sensing coverage. Two related sleep scheduling schemes, the Distance-based Scheduling (DS) scheme and the Randomized Scheduling (RS) scheme are also studied in terms of the coefficient of variation of their energy consumption. Analytical and simulation results are presented to evaluate the proposed BS scheme. It is shown that the BS scheme extends the cluster's overall network lifetime significantly while maintaining a similar sensing coverage compared with the DS and the RS schemes for sensor clusters.

Wireless Sensor Network Protocols

“…It can support many important network features within a cluster, such as channel access for cluster members and power control, as well as between clusters, such as routing and code separation to avoid inter-cluster interference. Moreover, clustering distributes the management responsibility from the base station to the cluster heads, and provides a convenient framework for data fusion, local decision making and local control, and energy savings [31,32,33].…”

A Configurable Routing Protocol for Improving Lifetime and Coverage Area in Wireless Sensor Networks

“…In [9], the authors present a scheme that assigns a probability of sleeping to every node, where nodes that are farther from the cluster head are more prone to sleep. In [10], the same authors improve their mechanism by proposing a solution where the energy consumption of each node is independent. In [11], a sleep schedule for heterogeneous networks is proposed.…”

Enforcing Availability in Failure-Aware Communicating Systems

“…Rather than peer-to-peer message passing, one-tomany and many-to-one communications are better solutions for energy-efficient [18,14]. However, as the number of sensor nodes in a SN scales to large numbers, communications between a base and sensing nodes can become a limiting factor.…”