Energy preserving sleep scheduling for cluster-based wireless sensor networks

Abstract

In sensor network, sleeping technique can be used to conserve energy for maximizing the network lifetime. The sensor nodes are often densely deployed in the sensing field, which increases redundant packet transmissions thereby draining huge amount of sensor energy. However, energy wastage can be preserved by putting some nodes to sleep state, while other nodes remain active in the network. Therefore, a novel way have been determined that allows selected sensor nodes to enter sleep state without degrading sensor coverage of the network. In the proposed Energy Preserving Sleep Scheduling (EPSS) strategy, the sleeping probability of a node varies according to the density of the deployed region. Moreover, the distance of the member nodes from the head node is also taken into account in the sleep policy, thereby balancing energy consumption within a cluster. The simulation result of our proposed sleep scheduling scheme shows significant enhancements over Linear Distance-based Scheduling and Randomized Scheduling schemes respectively.

HACH: Heuristic Algorithm for Clustering Hierarchy protocol in wireless sensor networks

“…An energy preserving sleep scheduling (EPSS) strategy allows each sensor to make decisions regarding going into sleep mode based on their distance from the cluster head and network density. This guarantees balanced energy consumption in the cluster by taking into account the density of node deployment and the network load while determining the sleep probability [8]. In [9], a probabilistic and analytical method was employed to approximate the overlapping sensing coverage between a node and its neighbours.…”

A Genetic Algorithm based Sleep Wake up Protocol for Wireless Sensor Networks

“…The proposed protocol is fully distributed and does not use any geographical information. In [17] an Energy Preserving Sleep Scheduling strategy called EPSS has been proposed. In the proposed strategy, the sleeping probability of a node varies according to the density of the deployed region and the energy consumption within a cluster is balanced.…”

A novel multi-objective coverage optimization memetic algorithm for directional sensor networks

“…11 The omnidirectional wireless sensor has a circular monitoring area. Singh and Lobiyal, 12 Liu et al 13 and others proposed different methods based on the scheduling protocol to extend the network lifetime of WSNs that consist of omnidirectional wireless sensors. Directional wireless sensors only sense a sector of a disk at a specific time.…”