1,540 research outputs found
An Energy Efficient Sleep/Wake up Routing Protocol for Wireless Sensor Networks
In recent years, wireless sensor networks (WSNs) have a rapid development and they take a lot of research attention because of their wide-range applications. A WSN consists of a large number of distributed sensor nodes. These nodes are often deployed in remote or hostile areas to monitor physical or environmental conditions where they send this data to a main location. The most critical parameter in WSNs is network lifetime, so an efficient routing protocol is essential to reduce the energy consumption and to increase the network lifetime. This paper proposes an energy-efficient chain-based cooperative routing protocol based on node sleep/wake-up mechanism for WSNs. We compare this protocol with two efficient protocols; LEACH and CBCCP using MATLAB. Simulation results show that the proposed algorithm achieves better performance and conserves more energy than the other two protocols
A Survey on Wireless Sensor Network Security
Wireless sensor networks (WSNs) have recently attracted a lot of interest in
the research community due their wide range of applications. Due to distributed
nature of these networks and their deployment in remote areas, these networks
are vulnerable to numerous security threats that can adversely affect their
proper functioning. This problem is more critical if the network is deployed
for some mission-critical applications such as in a tactical battlefield.
Random failure of nodes is also very likely in real-life deployment scenarios.
Due to resource constraints in the sensor nodes, traditional security
mechanisms with large overhead of computation and communication are infeasible
in WSNs. Security in sensor networks is, therefore, a particularly challenging
task. This paper discusses the current state of the art in security mechanisms
for WSNs. Various types of attacks are discussed and their countermeasures
presented. A brief discussion on the future direction of research in WSN
security is also included.Comment: 24 pages, 4 figures, 2 table
Robotic Wireless Sensor Networks
In this chapter, we present a literature survey of an emerging, cutting-edge,
and multi-disciplinary field of research at the intersection of Robotics and
Wireless Sensor Networks (WSN) which we refer to as Robotic Wireless Sensor
Networks (RWSN). We define a RWSN as an autonomous networked multi-robot system
that aims to achieve certain sensing goals while meeting and maintaining
certain communication performance requirements, through cooperative control,
learning and adaptation. While both of the component areas, i.e., Robotics and
WSN, are very well-known and well-explored, there exist a whole set of new
opportunities and research directions at the intersection of these two fields
which are relatively or even completely unexplored. One such example would be
the use of a set of robotic routers to set up a temporary communication path
between a sender and a receiver that uses the controlled mobility to the
advantage of packet routing. We find that there exist only a limited number of
articles to be directly categorized as RWSN related works whereas there exist a
range of articles in the robotics and the WSN literature that are also relevant
to this new field of research. To connect the dots, we first identify the core
problems and research trends related to RWSN such as connectivity,
localization, routing, and robust flow of information. Next, we classify the
existing research on RWSN as well as the relevant state-of-the-arts from
robotics and WSN community according to the problems and trends identified in
the first step. Lastly, we analyze what is missing in the existing literature,
and identify topics that require more research attention in the future
Markov Decision Processes with Applications in Wireless Sensor Networks: A Survey
Wireless sensor networks (WSNs) consist of autonomous and resource-limited
devices. The devices cooperate to monitor one or more physical phenomena within
an area of interest. WSNs operate as stochastic systems because of randomness
in the monitored environments. For long service time and low maintenance cost,
WSNs require adaptive and robust methods to address data exchange, topology
formulation, resource and power optimization, sensing coverage and object
detection, and security challenges. In these problems, sensor nodes are to make
optimized decisions from a set of accessible strategies to achieve design
goals. This survey reviews numerous applications of the Markov decision process
(MDP) framework, a powerful decision-making tool to develop adaptive algorithms
and protocols for WSNs. Furthermore, various solution methods are discussed and
compared to serve as a guide for using MDPs in WSNs
Energy Proficient and Security Protocol for WSN: AODV
Wireless sensor network is extensively used technology now a day in real time application. It consists of a number of autonomous sensor nodes which are organized in various areas of interest to accumulate data and jointly convey that data back to a base station. But the sensor node has limited battery energy and it is also found that the WSN more vulnerable to severe kinds of security threats such as denial of service (DOS), Sybil, hello flood attack etc. In this, we proposed group communication using election algorithm to make the network most energy efficient and also make the network secure. The simulation of the proposed methodology is done between different network parameter such as PDR, end-to-end delay, throughput and energy consumption using the network simulator NS-2.34
Routing Security Issues in Wireless Sensor Networks: Attacks and Defenses
Wireless Sensor Networks (WSNs) are rapidly emerging as an important new area
in wireless and mobile computing research. Applications of WSNs are numerous
and growing, and range from indoor deployment scenarios in the home and office
to outdoor deployment scenarios in adversary's territory in a tactical
battleground (Akyildiz et al., 2002). For military environment, dispersal of
WSNs into an adversary's territory enables the detection and tracking of enemy
soldiers and vehicles. For home/office environments, indoor sensor networks
offer the ability to monitor the health of the elderly and to detect intruders
via a wireless home security system. In each of these scenarios, lives and
livelihoods may depend on the timeliness and correctness of the sensor data
obtained from dispersed sensor nodes. As a result, such WSNs must be secured to
prevent an intruder from obstructing the delivery of correct sensor data and
from forging sensor data. To address the latter problem, end-to-end data
integrity checksums and post-processing of senor data can be used to identify
forged sensor data (Estrin et al., 1999; Hu et al., 2003a; Ye et al., 2004).
The focus of this chapter is on routing security in WSNs. Most of the currently
existing routing protocols for WSNs make an optimization on the limited
capabilities of the nodes and the application-specific nature of the network,
but do not any the security aspects of the protocols. Although these protocols
have not been designed with security as a goal, it is extremely important to
analyze their security properties. When the defender has the liabilities of
insecure wireless communication, limited node capabilities, and possible
insider threats, and the adversaries can use powerful laptops with high energy
and long range communication to attack the network, designing a secure routing
protocol for WSNs is obviously a non-trivial task.Comment: 32 pages, 5 figures, 4 tables 4. arXiv admin note: substantial text
overlap with arXiv:1011.152
A Non-Cooperative Game Theoretical Approach For Power Control In Virtual MIMO Wireless Sensor Network
Power management is one of the vital issue in wireless sensor networks, where
the lifetime of the network relies on battery powered nodes. Transmitting at
high power reduces the lifetime of both the nodes and the network. One
efficient way of power management is to control the power at which the nodes
transmit. In this paper, a virtual multiple input multiple output wireless
sensor network (VMIMO-WSN)communication architecture is considered and the
power control of sensor nodes based on the approach of game theory is
formulated. The use of game theory has proliferated, with a broad range of
applications in wireless sensor networking. Approaches from game theory can be
used to optimize node level as well as network wide performance. The game here
is categorized as an incomplete information game, in which the nodes do not
have complete information about the strategies taken by other nodes. For
virtual multiple input multiple output wireless sensor network architecture
considered, the Nash equilibrium is used to decide the optimal power level at
which a node needs to transmit, to maximize its utility. Outcome shows that the
game theoretic approach considered for VMIMO-WSN architecture achieves the best
utility, by consuming less power.Comment: 12 pages, 8 figure
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