an energy efficient and load balancing scheme with mobile agents ma in wireless sensor network wsn

Abstract

ABSTRACT newlineWireless sensor networks have seen the exponential growth and have also received considerable attention as these small and inexpensive entities can sense the environment, process data and help scientists to take decisions based on the inputs. WSNs have been applicable in various sensitive domains such as target detection, surveillance and environmental monitoring. Exponential developments towards reducing the size of motes and improvements in technical designs including hardware and software have led to advancements in this domain. It is evident from the architecture of sensor node that lifetime of a network is primarily dependent on the battery of the node. Hence, it is of utmost importance to employ energy efficient protocols for primary tasks i.e. sensing, networking and communication. In the light of current body of research, sensors have been considered to be deployed in non- deterministic area; hence the deployment, networking and communication shall be carried out efficiently. newlineAlthough mobile agents have gained a lot of attention in late nineties but very few proposals are available exploiting their capabilities in wireless sensor networks. Owing to the high cost of deploying hundreds and thousands of sensor nodes in any non-deterministic environment (like dense forests, under sea etc.) the deployment is done with an aim to achieve the trend of One deployment, multiple applications . However, this drifts necessaries sensor hubs to have different capacities to deal with various applications. In any case, it is difficult to store the programs required to run each conceivable application in the nearby memory of installed sensors, as these device, for the most part, have firm memory limitations. Because of this reason, utilization of mobile representative to dynamically deploy new type of applications in WSNs appears to be an efficient approach to address this challenge. Utilization of mobile representative to dynamically deploy new type of applications in WSNs appears to be an efficient approach to