The For Cluster Based Wsns ( Cwsns ), Secure Data Transmission

3) Secure data aggregation: Fine grain sensing is one of the important compensation of a wireless sensor network which is provided by the large and dense sets of nodes .So to avoid overwhelming amounts of traffic, the sensed values must be aggregated and the aggregation may take place in many places in the network depending on the architecture of the wireless sensor network. For example, the system may average the temperature of a geographic region, combine sensor values to compute the location and velocity of a moving object, or aggregate data to avoid false alarms in real-world event detection. All aggregation locations must be secured [8].

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.

Abstract—Wireless Sensor Network (WSN) is basically a wireless network in which sensor nodes are distributed in any environment condition, to collect the data or information such as temperature, pressure, wind, sea level etc. and accordingly data or information will be passed to the main location. Reliable Trust and Reputation of a node stands for the measure of trust over a certain period of time which can be useful to evaluate the risk of attack from that particular node. We have combined all these parameters in order to risk of attack from a particular node.

With the furtherance of computer networks extending boundaries and joining distant locations, wireless sensor networks (WSN) emerged as the new frontier in developing opportunities in order to collect and process data from remote locations. A wireless sensor network is a collection of nodes organized in a cooperative manner. Multiple sensor nodes arranged in proximity to sense an event and subsequently transmit sensed and collected information to a remote processing unit or base station. The nodes are able to communicate wirelessly and often self-organize after being deployed in an ad hoc fashion. More than 1000s or even 10,000 nodes are expected. Currently, wireless sensor

The main goal of communication protocols in WSNs is to maximize energy efficiency in order to

Hence, WSN technology has very broad application prospects, which can be used in military, industrial and agricultural control, urban management, biomedical, environmental testing, disaster relief and other fields. However, in many of these applications, the environment could be hostile and manual placement of sensor nodes might not be possible. In these situations, the nodes are expected to be deployed randomly or be sprinkled from airplanes and will remain unattended for weeks or months without any battery replenishment [4]. Therefore, energy conservation is a key issue in the design of systems based on WSNs. Due to the limited energy resource in each sensor node, we need to utilize the WSN in an

In this paper, I will mainly focus on analyzing and evaluating the current Wireless Sensor Networks (WSN). This paper starts with an overview on fundamentals of WSNs, by providing necessary background to understand

Abstract :- Due to recent improvement technologies in wireless communication ,there has been a fastest growth in wireless sensor networks technologies during the past few years. Many different architectures as well as algorithms and applications have been determined and implemented. The efficiency of these wireless sensor networks is as much as dependent on routing protocol directly affecting the network life and in wireless sensor network every sensor has a limited transmission range of every sensor node to obtain the sensing data. Due to this limitation of wireless sensor network Clustering of node is most popular techniques preferred in routing operations. In this paper, cluster based energy efficient clustering technique based on artificial bee colony algorithm and genetic algorithm is presented to increase the network lifetime. The name of artificial bee colony algorithm is come from bees cause It has been inspired by collective behavior of Bees as seeking food. To minimize the energy consumption it is significant to plan a data collection path with the minimum length to complete the data collection work. So in this paper, we determine that this problem which can be solve as traveling salesman problem, it 's also called as

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.

A Wireless Sensor Network can be composed of large number of tiny of sensor nodes spread in a wide area and communicating with each other either directly or through routing mechanisms to the other nodes. One or more of the nodes are the base station with uninterrupted battery source than the other nodes. Since the devices in WSN are often tiny devices with small form factor the computational power of these devices is usually small because there will not support large amount of hardware. Furthermore as the devices are wireless they need to obtain their energy from an inbuilt battery which in the end needs to be recharged or replaced. If the battery of a device is depleted it needs an immediate substitution to function further .

At present, Wireless Sensor Network has becoming a hot technological topic with the development of computer science and wireless communication technology, wireless sensor network (WSNs) is a system shaped by a substantial number of sensor nodes, each one furnished with sensors to recognize physical phenomena, for example, heat, light, movement, or sound. Utilizing diverse sensors, WSNs can be implemented to backing numerous applications including security, diversion, mechanization, mechanical checking, and open utilities also state management. however, numerous WSN gadgets have serious asset demands as far as vitality, computation, and memory, brought about by a need to cutoff the expense of the substantial number of gadgets needed for some applications and by organization

Wireless Sensor Networks are formed by autonomous nodes containing partial memory, better range of communication, power and capable bandwidth. WSN are used to inspect the corporal and environmental conditions through a system and perform data processing. However, during data acquisition different types of issues and circumstances are to be resolved.

Abstract: Wireless sensor networks (WSN) have grabbed much attention in recent years due to their potential use in many applications. One such application is deploying WSN in underground mines to monitor the miner 's physical signals as well as the environment they are exposed to. However, due to the resource constraints of sensor nodes and the adhoc-formation of the network, in addition with an unattended deployment, pose un-conventional demands provoke the need for special techniques for design and management of WSN. Because of the restrictions caused by the lossy dielectric walls and ceilings in the underground mines, the radio signal propagation characteristics are significantly different from those of terrestrial wireless channels. In this paper, underground WSN is designed considering worker’s safety in under-ground, increased energy efficiency and productivity as main goals.

Wireless Sensor networks are defined as the distribution of the sensors in the irregular manner. It is a heterogeneous system. The range of sensors used in the network may be from few hundreds to thousands. These sensors will have limited resources like power, storage, communication and processing capability.

A wireless sensor network (WSN) is a network consisting of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, humidity, motion or pollutants and to cooperatively pass their data through the network to a main location. The WSN is built of nodes from a few to several hundreds or even thousands, where each node is connected to one (or sometimes several) sensors. Each such sensor network node has typically several parts: a radio transceiver with an internal antenna or connection to an external antenna, a microcontroller, an electronic circuit for interfacing with the sensors and an energy source, usually a battery or an embedded form of energy harvesting [23].