1,312 research outputs found
A comprehensive survey of wireless body area networks on PHY, MAC, and network layers solutions
Recent advances in microelectronics and integrated circuits, system-on-chip design, wireless communication and intelligent low-power sensors have allowed the realization of a Wireless Body Area Network (WBAN). A WBAN is a collection of low-power, miniaturized, invasive/non-invasive lightweight wireless sensor nodes that monitor the human body functions and the surrounding environment. In addition, it supports a number of innovative and interesting applications such as ubiquitous healthcare, entertainment, interactive gaming, and military applications. In this paper, the fundamental mechanisms of WBAN including architecture and topology, wireless implant communication, low-power Medium Access Control (MAC) and routing protocols are reviewed. A comprehensive study of the proposed technologies for WBAN at Physical (PHY), MAC, and Network layers is presented and many useful solutions are discussed for each layer. Finally, numerous WBAN applications are highlighted
Droplet: A New Denial-of-Service Attack on Low Power Wireless Sensor Networks
In this paper we present a new kind of Denial-of-Service attack against the PHY layer of low power wireless sensor networks. Overcoming the very limited range of jamming-based attacks, this attack can penetrate deep into a target network with high power efficiency. We term this the Droplet attack, as it attains enormous disruption by dropping small, payload-less frame headers to its victim's radio receiver, depriving the latter of bandwidth and sleep time. We demonstrate the Droplet attack's high damage rate to full duty-cycle receivers, and further show that a high frequency version of Droplet can even force nodes running on very low duty-cycle MAC protocols to drop most of their packets
Deterministic scheduling for energy efficient and reliable communication in heterogeneous sensing environments in industrial wireless sensor networks
The present-day industries incorporate many applications, and complex processes, hence, a large number of sensors with dissimilar process deadlines and sensor update frequencies will be in place. This paper presents a scheduling algorithm, which takes into account the varying deadlines of the sensors connected to the cluster-head, and formulates a static schedule for Time Division Multiple Access (TDMA) based communication. The scheme uses IEEE802.15.4e superframe as a baseline and proposes a new superframe structure. For evaluation purposes the update frequencies of different industrial processes are considered. The scheduling algorithm is evaluated under varying network loads by increasing the number of nodes affiliated to a cluster-head. The static schedule generated by the scheduling algorithm offers reduced energy consumption, improved reliability, efficient network load management and improved information to control bits ratio
Whisper: Fast Flooding for Low-Power Wireless Networks
This paper presents Whisper, a fast and reliable protocol to flood small
amounts of data into a multi-hop network. Whisper relies on three main
cornerstones. First, it embeds the message to be flooded into a signaling
packet that is composed of multiple packlets. A packlet is a portion of the
message payload that mimics the structure of an actual packet. A node must
intercept only one of the packlets to know that there is an ongoing
transmission. Second, Whisper exploits the structure of the signaling packet to
reduce idle listening and, thus, to reduce the radio-on time of the nodes.
Third, it relies on synchronous transmissions to quickly flood the signaling
packet through the network. Our evaluation on the Flocklab testbed shows that
Whisper achieves comparable reliability but significantly lower radio-on time
than Glossy -- a state-of-the-art flooding algorithm. Specifically, Whisper can
disseminate data in FlockLab twice as fast as Glossy with no loss in
reliability. Further, Whisper spends 30% less time in channel sampling compared
to Glossy when no data traffic must be disseminated
Securing Internet of Things with Lightweight IPsec
Real-world deployments of wireless sensor networks (WSNs) require
secure communication. It is important that a receiver is able to verify that sensor
data was generated by trusted nodes. In some cases it may also be necessary
to encrypt sensor data in transit. Recently, WSNs and traditional IP networks
are more tightly integrated using IPv6 and 6LoWPAN. Available IPv6 protocol
stacks can use IPsec to secure data exchange. Thus, it is desirable to extend
6LoWPAN such that IPsec communication with IPv6 nodes is possible. It is
beneficial to use IPsec because the existing end-points on the Internet do not
need to be modified to communicate securely with the WSN. Moreover, using
IPsec, true end-to-end security is implemented and the need for a trustworthy
gateway is removed.
In this paper we provide End-to-End (E2E) secure communication between
an IP enabled sensor nodes and a device on traditional Internet. This is the
first compressed lightweight design, implementation, and evaluation of 6LoWPAN
extension for IPsec on Contiki. Our extension supports both IPsec's Authentication
Header (AH) and Encapsulation Security Payload (ESP). Thus,
communication endpoints are able to authenticate, encrypt and check the integrity
of messages using standardized and established IPv6 mechanisms
LPDQ: a self-scheduled TDMA MAC protocol for one-hop dynamic lowpower wireless networks
Current Medium Access Control (MAC) protocols for data collection scenarios with a large number of nodes that generate bursty traffic are based on Low-Power Listening (LPL) for network synchronization and Frame Slotted ALOHA (FSA) as the channel access mechanism. However, FSA has an efficiency bounded to 36.8% due to contention effects, which reduces packet throughput and increases energy consumption. In this paper, we target such scenarios by presenting Low-Power Distributed Queuing (LPDQ), a highly efficient and low-power MAC protocol. LPDQ is able to self-schedule data transmissions, acting as a FSA MAC under light traffic and seamlessly converging to a Time Division Multiple Access (TDMA) MAC under congestion. The paper presents the design principles and the implementation details of LPDQ using low-power commercial radio transceivers. Experiments demonstrate an efficiency close to 99% that is independent of the number of nodes and is fair in terms of resource allocation.Peer ReviewedPostprint (authorâs final draft
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