The And Throughput Of Wireless Sensor Network Using Actor Nodes

maximization of network lifetime [8]. This protocol is also divided into two phase: 1. Clustering and 2. Routing of aggregated data. In clustering phase, a fixed topological arrangement is done by sensor nodes. In the data aggregation phase, heuristic is proposed. The advantage is that it provides energy efficiency and network lifetime also be increased.

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.

1. Abstract: Wireless sensor networks is growing rapidly over the few decades. Due to its flexibility, wireless sensor networks has been in practice in many areas. Among various wireless networks, Mobile Ad hoc networks has been one of the unique network. Unlike other network architectures, MANETs have no central architecture; every node is free to work both as a transmitter and receiver. Every single node can communicate freely with every other node which is in their communication range. Otherwise, it depends on neighboring nodes to relay messages. Due to this nature, MANETs are used in many missionary applications like health care, military use and emergency recovery. However the wide distribution of MANETs makes it vulnerable to malicious attacks. Hence it is necessary to design a secure system for MANETs. In this paper we implement a secure system named Enhanced Adaptive Acknowledgement especially for MANETs. To ensure higher security and reduce the network overhead, we use a different approach called hybrid cryptography in our proposed scheme. Enhanced Adaptive Acknowledgment detects higher malicious attackers without greatly disturbing the network performances. We compare the differences within the Enhanced Adaptive Acknowledgment before and after introducing the Hybrid cryptography approach

Ad hoc networks consist of a set of self-organized of mobile nodes which cooperate using a routing protocol to facilitate the communication. They have become very popular in recent years due to their characteristics: easy deployment, lack of infrastructure, dynamic topology, mobility and minimum commissioning costs.

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

Densely deployment nature of sensor nodes allows the sensor networks to keep functioning even if some of the nodes are destroyed or compromised. Therefore, there is a vast application of sensor networks especially in disastrous situations. Some of the examples of sensor network applications are:

CNBD analyzed the aggregated data to the sink by the transfer time from end to end to obtain a higher battery power of each node [83]. Guo and et. al. have suggested a Faulty Node Detection (FIND) to WSN. FIND is a method for nodes with data errors capturing a centralized approach, without specific recognition model taking into account. It is measured to measure the signal attenuation distance [84]. Saihi and et al. used to create a centralized error detection method based on clustering approach, the exchange of messages heartbeat actionable scalable and balanced applications for WSN [85]. In April 2016, Tahir and et al. evaluated a nominal power consumption in wireless sensor networks through a system through which a small number of high energy nodes collect both location information and the residual power state of the read nodes, then they are transmitted to the base station (BS). The authors suggested an algorithm in which a minor proportion of the high energy nodes are used to transmit each node’s information to the Base Station (BS) [86].

Wireless Sensor and Actor Networks (WSAN) have attracted a lot of interest in recent years. Their potential applications include search-and-rescue, forest fire detection and containment, battlefield reconnaissance, under-water surveillance, etc. In WSAN, sensors which are small, densely-populated, and power-constrained devices probe their surroundings and send the collected data to more capable nodes (actors) for processing and putting forward an appropriate response [1]. For example, sensors can detect rising heat in some spots in a forest and inform mobile robots (actors) that correlate the reports from various sensors and conclude the eruption

Wireless sensor network (WSN) is an infrastructure less, dynamic topology, application oriented, multihoping network design with small, sensing wireless distributed nodes. [1] WSN consists of thousand of wireless node distributed in a geographical area. The distributed nodes senses the current status of its region and supply to the next upper which collects different information from different nodes and supplied final information to the

Energy Consumption: Sensor Nodes are subject to battery power. Sensor networks are set on hostile situations so supplanting the battery is unfeasible. Consequently energy preservation and administration is a basic issue to determine in wireless sensor network.

Wireless sensor networks (WSNs) are presented their abilities in many vital applications such as wildlife tracking, checking heart rates of human, military applications, traffic monitoring, etc, [1]. Wireless sensors have limited resources, including limited storage, limited processing facility, and communication capability. In addition, each sensor node is powered by a battery, which has a finite size and cannot be recharged or replaced due to environmental conditions [2-5]. Actually, Sensor nodes depend on their finite resources to survive. Due to these reasons, it is important to enhance the energy efficiency of nodes to improve the quality of the application service REF. The first problem of WSNs is to minimize energy consumption in

A wireless sensor network (WSN) is a network of nodes that sense and control the environment providing interaction between the machines and the surrounding environment. It is formed by large number of sensors nodes where each node is equipped with sensor to detect physical characteristic such as temperature, pressure, weight etc. [2]. WSN is a new revolutionary method which gathers information from sensor nodes providing a reliable and efficient network. With the growing technology of sensors, WSNs will become the key for internet of things. The current focus of sensor network is mainly on networking technology comprising of dynamic environment and the sensor nodes. The new research program of SenseIT provided the sensor networking with new capabilities such

A wireless sensor network (WSN) comprises of a large number of independently distributed sensor nodes in which sensors employed at each and every node. These sensors are used to monitor physical or environmental conditions, and can easily pass their data through the sensor network to the main site. Each sensor node consists of a sensing system for information acquisition, real-time data processing, a power supply unit, and wireless communicating modules, which is a basic system of a WSN. Each time the physical conditions vary according to the time and space, WSNs starts real-time data processing and sends the data.