This paper is presenting a concept on the algorithm for picking the cluster leader for the operation of data aggregator that works moderately by connecting with the wireless sensor network. The bandwidth consumption and energy effectiveness of wireless sensor networks is limited no longer usage and is eliminated by the data aggregator of wireless sensor networks. The data is collected from all the other nodes and this data is transmitted to the wireless nodes by the cluster node. To minimise the traffic congestion or traffic flow we choose the algorithm, which will automatically choose the shortest path in the wireless network for generating the path to the node called ‘cluster leader’ from the data packet router.
This paper is also proposed a frame work for the simulation of the wireless sensor networks and the applications of WSN are that proposed an algorithm. The applications of wireless sensor networks is spreading rapidly form the last ten years in many areas like mostly in the areas called militaries, defence, large buildings, industries, and in many commercial buildings. Due to the advancement in wireless sensor networks the sensors with low power and the modules equipped with radio devices is now replaced with the wired sensors. These small modules (tiny) can be known as motes will collect all the information from the environment by using the motes and is also working like neurons.
Wireless sensor network is further divided into clusters for collecting the
A group of wireless sensor nodes (devices) dynamically constructs a temporary network without the exercise of any pre-existing network infrastructure or centralized administration. The main goal of ad-hoc networking is multihop broadcasting in which packets are transferred from source node to destination node through the intermediate nodes (hops). The main function of multi hop WSN is to enable communication between two terminal devices through a bit of middle nodes, which are transferring information from one level to another level. On the foundation of network connectivity, it dynamically gets to determine that which nodes should get included in routing, each node involved in routing transmit the data to further
A WSN is a type of wireless networks that consists of collection sensor nodes which are tiny devices. Each sensor node of the network has different processing capability. It may contain multiple types of memory (program, data and flash memories), have a RF transceiver, have a power source (e.g., batteries and solar cells), and accommodate various sensors and actuators. The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion [13, 14]. Optimum need of each sensor node is to maximize its own utility function. Also the whole network requires resource assignments balance to perform in a useful and efficient way. This chapter presents a brief survey on WSNs showing its types, characterizing features, protocols and applications.
On Piotrowski et al\cite{Piotrowski}, the authors present a collaborative data storage (tinyDSM) middleware that addresses the common problems of store data on wireless sensor networks (WSN) using data replication on nodes of the network. However, in the proposal, the decision of the node to assume the role of data replicators is static and uses a random criterion depends only on the number of nodes and density of the network. It's created some problems if that node disappears from the network.
This paper discusses about the S-MAC , which is a Medium Access Control Protocol used in wireless sensor networks . The protocol proposed in the paper is mainly inspired by PAMAS . The important goals of this protocol is to conserve energy and configure by itself or known as scalability . It is entirely different from traditional mac protocols like ieee 802.11. The protocol uses three primary techniques to support energy conserving and self-configuration . they periodically sleep to minimize energy consumption , then formation of virtual clusters by neighbor nodes for auto synchronization on sleep times and radios are also set to sleep during transmissions of other node . Then S-mac uses message passing and in-channel
The mobile computing technology is an emerging technology, which consist of wireless sensor networks. The wireless sensor is the smallest unit of a network and some of the features supports large scale deployment, mobility, reliability and other applications. According to (Hoon-Jae, 2011), the main goals of WSNs are to deploy a number sensor devices over an unattended area and transmit to certain locations.
Sensor network protocols have a unique capability self-organizing. Another interesting feature of wireless sensor networks is that the sensor nodes cooperate with each other. Sensor nodes have an in-built processor, using which before transmission raw data is processed. These features facilitate wide range of applications of wireless sensor networks like biomedical, environmental, military, event detection and vehicular telematics.
Wireless sensor networks are often referred to as self-adaptable or self-organizing and self-mending or self-healing networks. The self-organizing property of the network facilitates for a node to join the network without any intervention automatically. The nodes in a network can reconstruct their link organizations and can form an alternative paths whenever a node in that link fails or gets damaged. The implementation of these two properties are very precise to the network topology and the network characteristics like scalability, cost, performance and various other issues are decided by the implementation capability of the properties. The sensor nodes in the wireless sensor networks does not require any engineering and are easily deployable. The sensor nodes often with multi hop connections are responsible for
Abstract: LEACH TDMA schedules of each cluster are built independently. This can lead to collisions among clusters if the same channel is allotted to more than one overlapping clusters at the same time. To reduce this type of interference, in LEACH each cluster communicates using different CDMA codes. Thus, when a node is elected as CH, it chooses randomly from a list of spreading codes and informs all the nodes in the cluster to transmit using this spreading code. Hence all clusters can have intra-cluster communication in parallel. However, in large WSNs, as number of clusters increases self-noise generated by these codes may cross threshold limit and reach capacity limit. This forces to look at multiple channel use for improved throughput and energy-efficiency. We present an energy-efficient multi-channel routing protocol (CFCA) for wireless sensor networks. By computing the size of each cluster and identifying non-overlapping clusters, the proposed method allows channel reuse within WSN. This algorithm optimizes number of channels required for the given WSN.
Military Applications: The origin of wireless sensor networks is from defence research, therefore there are vast applications in military where sensor nodes can be deployed in warfield surveillance to detect, locate and monitor enemy activities.
Wireless Sensor Network (WSN) consists of a large number of low cost sensor nodes depolyed in parking area. These sensor nodes form a multi-hop ad-hoc network by wireless commnunication.
T. Gui in 2016 [39] studied the mechanism of SMO in the field of WSNs in the paper “A Novel Cluster-based Routing Protocol Wireless Sensor Networks using Spider Monkey Optimization.” The study additionally showed the change in traditional routing protocols in term of low-energy consumption and system quality of the network. SMO-C protocol suggested in the paper worked for Wireless sensor networks to minimize global energy consumption.
Recent trends in compact computing and wireless technologies are expansion of ad hoc network. Ad hoc network consists of versatile flat forms which are free to move expeditiously. Ad hoc networks are multi-hop network that use wireless communication for transmission without any fixed infrastructure. The networks are form and deform on-the-fly without the need for any system. Ad hoc structure does not require an access point, it is easy to setup, especially in a small or temporary network. Each node in the network forwards the packet without the need of central administration. In ad hoc network, node acts as a router to send and receive the data. An advantage of the system is robustness, flexibility and mobility. Ad hoc network are capable for analyzing radio propagation environment to optimize the performance. This typically requires that the network node have positioning capability as well as memory to recall geographical local condition. An ad hoc network typically refers to any set of network where all devices have equal status on a network and are free to associate with any other ad hoc network device in link range. Ad hoc network often refers to a mode of operation of IEEE 802.11 wireless networks. This review is focused on the applications, advantages and challenges of ad hoc networks.
In computer science, wireless sensor networks are an active research area with numerous workshops and conferences arranged each year.
Wireless Sensor Networks (WSN) consists of large number of sensor nodes distributed across a geographical area in highly dense manner. These nodes are of low cost and use less energy to perform various functions. These sensors have the ability to communicate with each other and route the data to next node or back to the Base Station (BS). Sensor nodes in a sensor network communicate with other nodes and collect the information.
Wireless sensor networks are the networks that gather information such as environmental information, which there are numbers of applications of WSN such as healthcare, building monitoring, forest fire, smart home etc. WSN is capable of sensing, processing and communicating independently. However, as most of the sensor nodes are powered by non-rechargeable battery, the limitation of energy supply has considerably reduced the lifetime of the sensor network. Hence, new designs of sensor node network and energy efficient MAC (Media Access Control) and protocols for long term autonomous monitoring wireless sensor network has become the next vision.