Improving energy efficiency in wireless sensor networks through scheduling and routing

This paper is about the wireless sensor network in environmental monitoring applications. A Wireless Sensor Network consists of many sensor nodes and a base station. The number and type of sensor nodes and the design protocols for any wireless sensor network is application specific. The sensor data in this application may be light intensity, temperature, pressure, humidity and their variations .Clustering and routing are the two areas which are given more attention in this paper.Comment: 7 Pages, 2 Figures and 1 Tabl

Attacks on Geographic Routing Protocols for Wireless Sensor Network

With the increase in the military and several other applications of Wireless Sensor Network, provisions must be made for secure transmission of sensitive information throughout the network. Most of the routing protocols proposed for ad-hoc networks and sensor networks are not designed with security as a goal. Hence, many routing protocols are vulnerable to an attack by an adversary who can disrupt the network or harness valuable information from the network. Routing Protocols for wireless sensor networks are classified into three types depending on their network structure as Flat routing protocols, Hierarchical routing protocol and Geographic routing protocols. Large number of nodes in a wireless sensor network , limited battery power and their data centric nature make routing in wireless sensor network a challenging problem. We mainly concentrate on location-based or geographic routing protocol like Greedy Perimeter Stateless Routing Protocol. Sybil attack and Selective forwarding attack are the two attacks feasible in GPSR. These attacks are implemented in GPSR and their losses caused to the network are analysed

A new QoS routing algorithm based on self-organizing maps for wireless sensor networks

For the past ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore and compare the performance of two very well known routing paradigms, directed diffusion and Energy- Aware Routing, with our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes

Using artificial intelligence in routing schemes for wireless networks

For the latest 10 years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, self-organizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore the performance of two very well-known routing paradigms, directed diffusion and Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes

Giving Neurons to Sensors: An Approach to QoS Management Through Artificial Intelligence in Wireless Networks

For the latest ten years, many authors have focused their investigations in wireless sensor networks. Different researching issues have been extensively developed: power consumption, MAC protocols, selforganizing network algorithms, data-aggregation schemes, routing protocols, QoS management, etc. Due to the constraints on data processing and power consumption, the use of artificial intelligence has been historically discarded. However, in some special scenarios the features of neural networks are appropriate to develop complex tasks such as path discovery. In this paper, we explore the performance of two very well known routing paradigms, directed diffusion and Energy-Aware Routing, and our routing algorithm, named SIR, which has the novelty of being based on the introduction of neural networks in every sensor node. Extensive simulations over our wireless sensor network simulator, OLIMPO, have been carried out to study the efficiency of the introduction of neural networks. A comparison of the results obtained with every routing protocol is analyzed. This paper attempts to encourage the use of artificial intelligence techniques in wireless sensor nodes

Multipath Routing in Wireless Sensor Networks: Survey and Research Challenges

A wireless sensor network is a large collection of sensor nodes with limited power supply and constrained computational capability. Due to the restricted communication range and high density of sensor nodes, packet forwarding in sensor networks is usually performed through multi-hop data transmission. Therefore, routing in wireless sensor networks has been considered an important field of research over the past decade. Nowadays, multipath routing approach is widely used in wireless sensor networks to improve network performance through efficient utilization of available network resources. Accordingly, the main aim of this survey is to present the concept of the multipath routing approach and its fundamental challenges, as well as the basic motivations for utilizing this technique in wireless sensor networks. In addition, we present a comprehensive taxonomy on the existing multipath routing protocols, which are especially designed for wireless sensor networks. We highlight the primary motivation behind the development of each protocol category and explain the operation of different protocols in detail, with emphasis on their advantages and disadvantages. Furthermore, this paper compares and summarizes the state-of-the-art multipath routing techniques from the network application point of view. Finally, we identify open issues for further research in the development of multipath routing protocols for wireless sensor networks

Compare Three Reactive Routing Protocols In Grid Based Clusterwireless Sensor Network Using Qualnet Simulator

This paper is comparingthe performance of three different routing protocols in grid based clustering for wireless sensor network. Sensor network iskeeping limited energy of sensor nodesand limited battery power. However the main task of sensor network energy consumption for sensor nodes. Furthermore grid based sensor working depend on location based that is divided into different parts. In grid based wireless sensor network, cluster head it works like a base station. Cluster zones are collecting all information that is passing through sensor nodes. In this paper, three routing protocols AODV ( Ad-hoc on demand distance vector routing),  DYMO (Dynamic Manet on demand routing ) and DSR (Dynamic source routing) are analyzed and compared by using Qualnet simulator on the basis of performance metrics such as energy consumption in transmit mode, receive mode, idle mode, and residual battery capacity. Key words- wireless sensor network, IEEE 802.15.4, Routing protocols (AODV, DYMO, DSR), Qualnet 5.2 simulator, CBR