Advanced Computing, Networking and Informatics- Volume 2: by Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna

By Malay Kumar Kundu, Durga Prasad Mohapatra, Amit Konar, Aruna Chakraborty

Advanced Computing, Networking and Informatics are 3 specified and jointly unique disciplines of data with out obvious sharing/overlap between them. even if, their convergence is saw in lots of actual international functions, together with cyber-security, net banking, healthcare, sensor networks, cognitive radio, pervasive computing amidst many others. This two-volume court cases discover the mixed use of complex Computing and Informatics within the subsequent iteration instant networks and defense, sign and photo processing, ontology and human-computer interfaces (HCI). the 2 volumes jointly contain 148 scholarly papers, that have been approved for presentation from over 640 submissions within the moment foreign convention on complicated Computing, Networking and Informatics, 2014, held in Kolkata, India in the course of June 24-26, 2014. the 1st quantity comprises leading edge computing concepts and suitable learn ends up in informatics with selective purposes in trend attractiveness, signal/image processing and HCI. the second one quantity nonetheless demonstrates the potential scope of the computing recommendations and informatics in instant communications, networking and security.

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Additional info for Advanced Computing, Networking and Informatics- Volume 2: Wireless Networks and Security Proceedings of the Second International Conference on Advanced Computing, Networking and Informatics (ICACNI-2014)

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When a mobile agent decides to migrate, it saves its own state (serialization may be used in case of Java based agents), transports this saved state to the new host, and resumes execution from the saved state. This is called weak migration. But a mobile agent may also migrate in another way called strong migration [4]. A strong migration occurs when the mobile agent carries out its migration between different hosts while conserving its data, state and code. The platform is the environment of execution.

3. Deceleration (when the next car is farther): if v= vnext+4, decelerate by 2 (v ← v−2). Otherwise, if vnext+2 <= v<= vnext+3 then decelerate by 1 (v ← v − 1). 4. Acceleration: if the speed has not been modified yet by one of rules 1-3 andvv +1, then v ← v +1. 5. Randomization: if v> 0, with probability pfault, velocity decreases by one (v ← v − 1). 6. Motion: the car advances v cells. This model performs an iteration of cars moving on a road in O(L) time , where L is the length of the road and a parallel implementation based on the constant time.

Section 3 describes the algorithms for finding the intersection points and the area covered by squares. Section 4 shows the simulation results and finally Section 5 concludes the paper. 2 Problem Formulation Let a set of n nodes S = {s1 , s2 , . . , sn } be deployed randomly over a 2-D region A. Each node covers a circular area with radius r. The problem is to decide whether the region A is fully covered by the nodes. Note that a computation considering real circles in Euclidean geometry is rather complex.

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