On the Design and Implementation of Wireless Multimedia Sensor Networks

Davis, Thomas D.; Pang, Qing; Skelton, Gordon W.; Meghanathan, Natarajan

doi:10.5121/ijngn.2010.2303

Cited by 3 publications

(2 citation statements)

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“…Sensor nodes periodically sense the data from the surrounding environment, process it and transmit it to the base station or sink. Multimedia sensor networks are network of sensor nodes that are equipped with cameras (high and low resolution), microphones and scalar sensor that produces multimedia content as discussed in [1] and [2]. Data aggregation involves systematically collecting the sensed data from multiple sensors, aggregating to suppress the redundant data, and transmitting the aggregated data to the base station for further processing.…”

Section: Introductionmentioning

confidence: 99%

Agent Based Context Aware Data Aggregation and Dissemination in Distributed Multimedia Sensor Networks

Srimani¹,

Bhanu²

2017

2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT)

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Being equipped with appropriate multimedia sensor nodes, DMSNs can enable detection of object, temperature and identification of the location of fire attack in the forest. Sensor nodes deployed in forest environment enables to gather context information such as air pressure, temperature , object awareness, location of fire, fire condition (emergency level or non emergency level), and energy awareness about each node. Data aggregation plays an important role to conserve the network life of DMSN. Hence, in this paper we propose an software agent based energy efficient context aware data aggregation and dissemination in DMSN for the targeted area. The proposed model considers the context information such as temperature, air-pressure, energy, object awareness and helps in identifying the location of fire attack in the forest. Static and mobile software agents are used along with context awareness to improve the performance of the proposed scheme. To test the operation, proposed scheme is simulated using NS2. The performance of the proposed scheme is evaluated by considering some of the parameters such as energy consumption, routing overhead, rate of redundancy of data, aggregation time and rate of dissemination of data.

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Section: Introductionmentioning

confidence: 99%

Agent Based Context Aware Data Aggregation and Dissemination in Distributed Multimedia Sensor Networks

Srimani¹,

Bhanu²

2017

2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT)

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“…They are equipped with low cost cameras and/or microphones to be able to acquire and transmit multimedia contents to the base station. The multimedia sensing capabilities, provided by this new generation of sensors, raise some new issues in the field of wireless sensor networks due to their uniqueness [3], [4]. These new sensors produce a huge amount of data with Quality of Service (QoS) restrictions and requirements such as end-toend delay.…”

Section: Introductionmentioning

confidence: 99%

Nodes placement for reducing energy consumption in multimedia transmissions

Pace

Loscrì

Natalizio

et al. 2011

2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications

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Abstract-Power consumption is an essential issue in wireless multimedia sensor networks (WMSNs) due to the elevated processing capabilities requested by the video acquisition hardware installed on the generic sensor node. Hence, node placement scheme in WMSNs greatly impacts the overall network lifetime. In this context, the paper first proposes a suitable hardware architecture to implement a feasible WMS node based on off-the-shelf technology, then it shows how the energy spaced placement of the wireless nodes reduces the energy consumption in comparison with the classical evenly spaced placement, without affecting the video quality of multimedia traffic.

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