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Mahamuni, Chaitanya Vijaykumar
- Optimal Node Scheduling Based on Randomized Sleep Assignment and Active Node Failure for Energy-Efficient Coverage of WSNs
Authors
1 Electronics and Telecommunication Engineering Department, Fr. Conceicao Rodrigues Institute of Technology, Vashi, Mumbai, IN
2 Pranveer Singh Institute of Technology (PSIT), Kanpur, Uttar Pradesh, IN
Source
Networking and Communication Engineering, Vol 9, No 3 (2017), Pagination: 72-80Abstract
The applications of Wireless Sensor Networks (WSNs) have been gaining an important place as they possess the ability to bridge the gap between the physical and virtual world. The sensor nodes are usually deployed in hostile and remote areas for applications like earthquake monitoring, seismic activity monitoring, and the military surveillance over a region of several acres which may either a land or an ocean, and disaster relief operations. In these applications, the deployment of nodes in a sensor field takes place by their aerial dispersion. An unmanned plane (UAV) deploys motes in a sensor field after which their network is established. The probability of falling of nodes is uniform, though there may be more nodes at a particular place while very less nodes at other places. There will be an overlapping coverage amongst adjacent nodes if nodes being deployed are very large. Thus, when one node is active, there is a possibility of multiple nodes being active within its range which is not desirable as it leads to the wasteful power consumption. One of the effective methods to avoid this situation is the optimal sleep scheduling of sensor nodes. In this paper, the results of the software and hardware implementation of Optimal Node Scheduling Protocol (ONSP) based on a new algorithm that optimizes the node schedule based on the randomized sleep assignment and the probability of failure of active nodes within the range of a probing node. The evaluation based on the simulation carried out in MATLAB and the runtime assessment of the protocol for the performance enhancement of randomly deployed WSNs is presented in the paper.
Keywords
Wireless Sensor Networks, Coverage, Optimal Backoff Sleep Time, Active, Sleep Nodes, Coverage Lifetime etc.- Sensor Node Failure Affecting Coverage of WSNs: An Overview
Authors
1 Fr. Conceicao Rodrigues Institute of Technology, Vashi affiliated to University of Mumbai, Mumbai, IN
Source
Networking and Communication Engineering, Vol 9, No 6 (2017), Pagination: 143-147Abstract
A Wireless Sensor Network (WSN) is an extreme form of ad-hoc networking in which a large number of sensor nodes are distributed over a huge area functioning autonomously. Their function is to monitor the physical and environmental conditions like temperature, sound, pressure etc in their surroundings [1]. These sensors sense the phenomenon, and convert into an electrical output and transmit data or gather data from different locations and then send it to the main location. The one important thing that is responsible for the degradation of the performance of a WSN is the node failure. There are many reasons due to which the sensor nodes may undergo an unexpected failure. The failure of a single node results into the failure of the whole network in the cluster-based topologies. Hence, the detection of the failure-prone nodes is important. In a WSN with randomly deployed sensor nodes (non-structured deployment) too, the failure of any node will affect the network coverage. In this paper, we present a study of the node failure in WSNs. The reasons for failure, the methods to detect faulty nodes are discussed initially, followed by the sensor node failure affecting the coverage of a randomly deployed WSN. The objective of the work presented in the paper is to study the node failure problem at the theoretical level and find out how it be tackled in real-time scenarios to improve the performance of a WSN.Keywords
Wireless Sensor Networks, Sensor Node Failure, Faulty Nodes, Coverage etc.References
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- Mahamuni, Chaitanya Vijaykumar, and K. T. V. Reddy. "Optimal Node Scheduling based on Randomized Sleep Assignment and Active Node Failure for Energy-Efficient Coverage of WSNs." Networking and Communication Engineering 9.3 (2017): 72-80.