Abstract
Wireless multimedia sensor networks (WMSNs) are increasingly being deployed for surveillance and monitoring applications. WMSNs applications produce large amount of data, which require high transmission rates. An efficient and seamless delivery of multimedia services in WMSNs is still a challenging task. This article proposes an intelligent video surveillance platform (IVSP) for wireless multimedia sensor networks. IVSP presents the design of a networked system for joint rate control and error control of video over resource-constrained embedded devices. First, a combination of two different congestion indicators is introduced to differentiate between congestion levels and handle them accordingly. Second, a feedback-based rate controller is developed to maximize received video quality, in which sensor nodes can adaptively adjust their sending rates. Finally, a different retransmission mechanism for different packets is proposed. Lost packets can be stored temporarily and resend when free channel is available to avoid congestion. The core component of IVSP is an open source hardware platform, which is based on Raspberry Pi sensor nodes. IVSP is extensively evaluated on 7 Raspberry Pi sensor nodes. We present the results of 7-node real-world deployment of IVSP in a video surveillance application and show that it works well in long-term deployments.
Highlights
Rapid development in micro electro-mechanical systems (MEMS), embedded computing, and wireless communication technologies has provided us with low-power, low-cost, and multifunctional sensor nodes
Each sensor node can be equipped with visual and audio information collection modules such as microphones and video cameras. This has encouraged the development of wireless multimedia sensor networks (WMSNs) [2]
WMSNs consist of a large number of embedded devices that are equipped with low power cameras
Summary
Rapid development in micro electro-mechanical systems (MEMS), embedded computing, and wireless communication technologies has provided us with low-power, low-cost, and multifunctional sensor nodes. These sensor nodes can be organized to form a network called wireless sensor networks (WSNs) [1]. Each sensor node can be equipped with visual and audio information collection modules such as microphones and video cameras This has encouraged the development of wireless multimedia sensor networks (WMSNs) [2]. WMSNs consist of a large number of embedded devices that are equipped with low power cameras These camera nodes are able to retrieve multimedia content from the environment at variable rates and transmit the captured information through multi-hop communication to base station [3,4]. Extensive studies have been carried out in recent years on the physical layer [9], the media access control layer [10,11], the network layer [12], and the transport layer [13,14] in WMSNs
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