Informatics Publishing Limited

P. Sivasankar ¹, C. Chellappan ², S. Balaji ³

Affiliations
1 NITTTR, IN
2 Computer Science and Engineering Department, Anna University, Chennai, IN
3 IBM, Bangalore, IN

Abstract

Mobile Ad hoc networks is a self-configuring infra structureless temporary network of mobile devices connected by wireless links. A major bottleneck in Mobile Ad hoc networks (MANETs) is the energy consumption since nodes are usually mobile and battery operated. This paper proposes an algorithm called Energy Efficient Delay Time Routing (EEDTR) which tries to increase the operational lifetime of Mobile Ad hoc networks. This algorithm is modified version of the existing Dynamic Source Routing (DSR) algorithm. This algorithm select fully distributed routes, thus balancing power consumption of the entire network and introduces a delay in forwarding the packets by nodes, which is inversely proportional to the remaining energy level of the node (EEDTR). The algorithm is designed and implemented using Global Mobile Simulator (GloMoSim), a scalable, simulation environment for network simulation. Based on the results obtained, it is concluded that the algorithm increases the lifetime of mobile ad hoc networks, at the expense of end delay and routing overhead.

Keywords

DSR, EEDTR, GloMoSim and MANET.

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K. Baskaran ¹, P. Sivasankar ¹, S. V. Manikanthan ¹

Affiliations
1 Department of ECE, Dr. Pauls Engineering College, IN

Abstract

A fault-tolerant distributed decision fusion in the presence of sensor faults via Collaborative Sensor Fault Detection (CSFD) was used traditionally. CSFD scheme is proposed in which the results of a homogeneity test are used to identify the faulty nodes within the network such that their quantized messages can be filtered out when estimating the parameter of interest. The scheme can identify the faulty nodes efficiently and improve the performance of the decision fusion significantly. It achieves very good performance at the expense of such extensive computations as exponent and multiplication/division in the detecting process. In many real-time WSN applications, the fusion center might be implemented in an ASIC and included in a stand-alone device. Therefore, a simple and efficient decision fusion scheme requiring lower hardware cost and power consumption is extremely desired. In this paper, we propose the Approximated Collaborative Sensor Fault Detection (ACSFD) scheme and its VLSI architecture. Sorting operation are required in ACSFD to find out four biggest faulty node indexes for subsequent usage for this purpose. we have implemented different sorting algorithm to evaluate the efficiency of the sorting network.

Keywords

Decision Fusion, Sensor Fault Detection, Sensor Networks, VLSI Architecture, Wireless Networks.

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