International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 04 Issue: 07 | July -2017
p-ISSN: 2395-0072
www.irjet.net
Performance Analysis of Energy Efficient Cross Layer Load Balancing in Tactical Multi-gateway Wireless Sensor Network Md. Sarfaraz Munawwar1, Prof. Sunil Kuntawar2, Prof. Vijay Roy3 1PG
Student, Department of Electronics & Communication, Ballarpur Institute of technology, Maharashtra, India Department of Electronics & Communication, Ballarpur Institute of technology, Maharashtra, India ----------------------------------------------------------------------***--------------------------------------------------------------------2,3Professor,
Abstract - In a recent time owing to the expansion in
Micro-Electro-Mechanical-System (MEMS) technology, the popularity of wireless sensor network has enhanced enormously. A tactical wireless sensor network (WSN) is a distributed network that collects data from the sensor among the region of interest. Since the sensor nodes are battery operated device, as a result of which it impact the service lifetime of the network. Power saving is a sensitive issue in WSNs as the sensor nodes are deployed with limited battery life. In multi-gateway communication, selection of nodes and account for node movement and communication within the confined network is extremely necessary that indirectly decides the lifetime of network. To boost the lifetime of the network, load balancing technique using efficient routing mechanism in such a way that traffic is distributed between sensor nodes, Cluster head and gateway. In our analysis we are majorly focusing on Ad hoc On Demand Vector Algorithm, Load balancing and compression algorithm i.e. RLE (Run Length Encoding) for reducing the network delay, which can facilitate the system to communicate data from the source to the destination in a very less time and thus improve the speed and throughput of the network. We have Evaluate the performance of the ad hoc on-demand distance vector routing protocol in between two clusters with the help of the network simulator NS2. We will study the performance parameter such as Delay, Energy fairness, packet Loss Rate and Routing Overhead Key Words: AODV, Load Balancing, Run Length Encoding WSN.
1.INTRODUCTION In the previous work, the researchers have solved the issue of multi-gateway communication effectively, but the main focus is on how to select nodes and account for node movement and communication in the network. This has lead to increased delay in communication of the network, which is why our research is significant. In our research, we are majorly focusing on Load balancing and compression algorithm at source for reducing the network delay, which will help the system to communicate data from the source to the destination in a lower time and hence improve the speed and throughput of the network. In long term, this can even help in reducing the energy consumed by the network for communication Š 2017, IRJET
|
Impact Factor value: 5.181
|
A wireless sensing element network consist of little sensor element nodes act among themselves utilizing radio signals, monitor and perceive the physical word [1].A WSN are often typically delineated as a network of sensing element nodes that cooperatively sense and should manage the surrounding enabling interaction between person or computer and also encompassing surrounding [2]. Due to the feature of easy placing of sensor element nodes, wireless sensing element networks (WSNs) have a massive vary of applications like observance of surrounding and rescue missions. Wireless sensing element network is consists of enormous variety of sensing elements nodes. The event is detected by the low power sensing element node deployed in neighborhood and therefore the detected data is transmitted to a distant process unit or base station [3]. Wireless sensing element networks are utilized in numerous forms of applications like unstable sensing, military applications, health applications, home applications and environmental applications. There are two main applications of wireless sensor networks which can be categorized as: monitoring and tracking and other commercial applications. [4] In general the two varieties of wireless sensor elements are: unstructured and structured. The structured wireless sensing element networks which are those within which the sensing element nodes placed in according with planning whereas unstructured wireless sensing element networks are the one during which sensing element nodes are placed in an ad-hoc manner. As there is no mounted infrastructure between wireless sensing element network for communication routing becomes problem in sizable amount of sensing element nodes deployed in conjunction with different challenges of producing design and managing those networks.
2. ROUTING PROTOCOLS: There are two types of routing protocols i.e. PROACTIVE and REACTIVE Protocols. In proactive routing, throughout the network the recent list of destinations and their path is maintained by periodically distributing routing table [5]. Here routing information is computed and shared and the path is set prior to the actual transfer of data packets between the source and destination. ISO 9001:2008 Certified Journal
|
Page 2834