Centralised cum sub‐centralised scheme for multi‐event coverage and optimum camera activation in wireless multimedia sensor networks

Abstract

The major challenge in sensor networks is how to have a perfect coverage of the region to be monitored. This study reports a novel algorithm inspired by centralised cum sub-centralised scheme that works efficiently for handling multiple events that occur simultaneously, while reducing the number of unnecessarily activated cameras so as to cover the occurring event region effectively. When any event takes place, the sensing of event occurs up to certain extent outside the exact event boundary. Hence, the cameras present beyond the boundary of event are activated unnecessarily. Since the proposed methodology avoids undesirable activation of cameras, the additional energy and power expenditure due to those cameras as well as the redundant data transmission prevailing due to them are eliminated. Results obtained from experimental evaluation reveal that the proposed methodology significantly reduces the number of unnecessarily activated cameras while providing the adequate coverage of event region for multi-event occurrence. Further more, the reduced camera actuation with increased coverage ratio, minimised redundancy ratio, improved field of view utilisation, less energy as well as power expenditure required for camera activation obtained from the investigation justifies the effectiveness of the proposed algorithm as compared with two other approaches recently proposed in the literature.

Enhanced Event Coverage and Redundant Data Minimization Employing Pentagonal Scalar Premier Selection in Wireless Multimedia Sensor Networks (WMSNs)

“…A novel approach [24] that works efficiently for considering multiple events which occur concurrently in the geographic monitored zone, at the same time lowering the count of undesired activated cameras sensors thereby curtailing the amount of redundant data reporting. Similarly, a maximal far-flung methodology [25] uses a distributed method that involves maximum far-distant scalar premier election for camera to be turned on.…”

A Novel Nature Instilled Moving Sink Architecture for Data Gathering in Wireless Sensor Networks

“…Moreover, a hexagonal neighborhood method (Priyadarshini & Panigrahi 2015) devised by Priyadarshini and Panigrahi (2016) reports an effective as well as novel work inspired by scalar premier(SP)determinationforactivatingminimizednumberofcamerasensorsandreducedamount ofredundancyindatareporting.Inaddition,theproposedmethodpassesthroughvariousstages: atthebeginning,allthesensorsarerandomlydeployedandafterwards,messageexchangeprevails amongthemforknowingthepositioninformationofoneanother.Consequently,theentiremonitored zoneisdividedintoanumberofvirtualcompartments,wherethescalarsensorslocatedateach compartmentchoosessixSPsinahexagonalpatternsothatthecamerastobeactivatedowingto themcoverdistinctportionsofthegeographicregions.…”

Green two‐tiered wireless multimedia sensor systems: an energy, bandwidth, and quality optimisation framework

“…More new added studies related to different aspects of techniques, protocols, and standardisations in the literature have been proposed so that WMSSs can gain high efficiency of energy and bandwidth resources and high QoS, to name a few, e.g. coverage‐enhanced algorithms [3, 4], routing [5, 6], relay selection [7], clustering [8], scheduling [9], and source encoding schemes [10–12].…”

“…The problem is that many CSs may totally or partially capture a particular area causing wasted energy for processing and transmitting too much redundant/replicated video contents. To cope with this problem, coverage‐enhanced algorithms have been introduced to reduce the overlap area by adjusting sensing directions of the CSs [3] and handling multiple events [4]. In this way, unnecessary CSs are made idle to save energy for long network lifetime while ensuring large monitored coverage area.…”