Computation of Coverage Backup Set for Wireless Video Sensor Network

Ukani, Vijay; Patel, Keyur; Zaveri, Tanish

doi:10.1109/tensymp.2015.23

Cited by 6 publications

(10 citation statements)

References 8 publications

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“…In EX_1 two duty cycling approaches have been proposed where a mixture of large percentage (60%) of static all-time active VSN (ATVSN) and a small percentage (40%) of static active/inactive VSN (AIVSN) are deployed randomly in the target area. It is an improvement over the duty cycling approach as stated in EX_2 and in other approaches [10]- [16]. Only AIVSNs in EX_1 participate in the duty cycling approach.…”

Section: Related Workmentioning

confidence: 92%

“…This reduces complications associated with cluster formation, cluster head election and delay. The proposed approaches are based on a 1-coverage problem unlike [6].The proposed centralized duty cycling does scheduling at the application level of VSN as well as MAC level to take care of message loss due to collision unlike in [1]- [16], [19]. Such a hybrid type of scheduling reduces message loss and energy consumption, increases network lifetime than the existing approaches as observed during the simulation.…”

Section: Significance Of the Proposed Approaches App_5 And App_6mentioning

confidence: 99%

“…But heuristics in [4]- [7] are based on the 2D omni-directional sensing mode of WSNs which is not a practical camera coverage model and they also lack any collision handling mechanism to prevent message loss due to collision. A distributed duty cycling approach is proposed in [9]- [16]. Each VSN generates two activity messages by specifying its active/inactive status and sends these two activity messages to its neighbour VSNs.…”

Section: Related Workmentioning

confidence: 99%

“…But such 2D modelling does not represent practical camera coverage. Each VSN sends an activity message to its neighbour VSNs to go into the sleep mode in [9]- [16]. But such transmission and reception of activity message by VSNs maintain no ordering which incurs huge message loss.…”

Section: Introductionmentioning

confidence: 99%

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Coverage Aware Scheduling Strategies for 3D Wireless Video Sensor Nodes to Enhance Network Lifetime

Bairagi¹,

Mitra

Bhattacharya

2021

IEEE Access

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High-density wireless video sensor nodes (VSNs) having limited battery power are deployed randomly in the disaster-hit area for capturing visual data, but its local processing and transmission consume high energy. High deployment density of those VSNs results in a larger overlap in the coverage area across VSNs that can be utilized to cover the sensing region of some VSNs and shut off such VSNs to decrease energy consumption and increase network lifetime without losing much area coverage. Two advanced approaches (APP_5 and APP_6) with realistic 3D rectangular pyramid camera coverage of VSN monitoring 2D target area is proposed in this paper. These approaches reduce the number of active VSNs in the target area and energy consumption maintaining the overall coverage area above some threshold value ensuring network connectivity. The approaches are compared with the three state-of-the-art approaches EX_1, EX_2 and EX_3 in the same simulation setup. Observed that for 150 deployed VSNs over the target area of size 75x75 square meters, APP_5 and APP_6 reduce energy consumption by 6.98% and 18.6% respectively from the existing approach EX_3 (producing a better result among three existing approaches in terms of energy consumption). Reducing the number of active VSNs helps decrease energy consumption at the expense of reduced area coverage. For the same node density, both APP_5 and APP_6 lose a little amount of area coverage (i.e. 0.93% and 0.95%) than the existing approach EX_2 (producing a better result among three existing approaches in terms of percentage of area coverage). Additionally, both the proposed approaches (having the same communication overhead) establish superiority by 3.19%/7.83%/4.25% from EX_1/EX_2/(EX_3) in terms of communication overhead for 100 deployed VSNs on the same target area. Finally, APP_6 substantiates superiority in terms of reduced energy consumption (11.97%) than APP_5 losing a very little percentage (0.02%) of area coverage for 150 deployed VSNs.

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Section: Related Workmentioning

confidence: 92%

Section: Significance Of the Proposed Approaches App_5 And App_6mentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Coverage Aware Scheduling Strategies for 3D Wireless Video Sensor Nodes to Enhance Network Lifetime

Bairagi¹,

Mitra

Bhattacharya

2021

IEEE Access

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show abstract

“…Regardless of the objectives, however, one common goal is to provide prolonged and continuous monitoring. Hence it is necessary to maximize the lifetime during which the coverage requirement can be satisfied through careful duty cycling of camera sensors [102].…”

Section: Wireless Multimedia Sensor Networkmentioning

confidence: 99%

A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks

Shu

Kim

Han

et al. 2019

Sensors

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In recent years, wireless multimedia sensor networks (WMSNs) have emerged as a prominent technique for delivering multimedia information such as still images and videos. Being under the great spotlight of research communities, however, multimedia delivery over resource- constraint WMSNs poses great challenges, especially in terms of energy efficiency and quality-of-service (QoS) guarantees. In this paper, recent developments in techniques for designing highly energy-efficient and QoS-capable WMSNs are surveyed. We first study the unique characteristics and the relevantly imposed requirements of WMSNs. For each requirement we also summarize their existing solutions. Then we review recent research efforts on energy-efficient and QoS-aware communication protocols, including MAC protocols, with a focus on their prioritization and service differentiation mechanisms and disjoint multipath routing protocols.

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Efficient approaches to optimize energy consumption in 3D wireless video sensor network under the coverage and connectivity constraints

2023

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Two advanced approaches (PA_1, and PA_2) based on a realistic 3D model of video sensor nodes (VSNs) deployed over a 2D target area are proposed to minimize energy consumption in the network maintaining area coverage and connectivity. Reducing the number of active VSNs decreases energy consumption, but lessens area coverage and connectivity too. These conflicting issues are resolved and an optimal solution is obtained by using an integer linear programming based approach PA_1. The problem being an NP-Hard one, PA_1 is not tractable for large instances, and a heuristic PA_2 based on an advanced genetic algorithm, is also developed to obtain the near-optimal solution. Simulation studies are carried out to compare the performance of PA_1, and PA_2 with the other three state-of-the-art approaches (APP_5, APP_6, and ET_3). Among three existing approaches, APP_6/(ET_3) is the best in energy consumption/(area coverage). It is observed that for the same simulation environment, both PA_1, and PA_2 guarantee higher network services, by reducing energy consumption by 40.85% and 33.34% respectively compared to the best existing approach APP_6; and as well as by increasing area coverage by 0.94% than the best existing approach ET_3 for the node density 150 on the target area of size 75x75 square meter. Between PA_1 and PA_2, PA_2 generates sub-optimal solution and PA_1 substantiates its superiority by reducing energy consumption by 11.26% than PA_2 without losing area coverage for the same simulation environment.

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Computation of Coverage Backup Set for Wireless Video Sensor Network

Cited by 6 publications

References 8 publications

Coverage Aware Scheduling Strategies for 3D Wireless Video Sensor Nodes to Enhance Network Lifetime

Coverage Aware Scheduling Strategies for 3D Wireless Video Sensor Nodes to Enhance Network Lifetime

A Survey of Energy-Efficient Communication Protocols with QoS Guarantees in Wireless Multimedia Sensor Networks

Efficient approaches to optimize energy consumption in 3D wireless video sensor network under the coverage and connectivity constraints

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